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Oregon State University
1.
Melendy, Robert F.
Bang-bang control development of permeability changes in a membrane model.
Degree: MS, Electrical and Computer Engineering, 1997, Oregon State University
URL: http://hdl.handle.net/1957/9456 
► The application of systems and control theory to membrane physiology is presented here. Modeling efforts have focused on describing those physiologically realistic mechanisms which govern…
(more)
▼ The application of systems and control theory to membrane physiology is presented here. Modeling efforts have focused on describing those physiologically realistic mechanisms which govern the regulation of membrane permeability in nerve. The motivation behind identifying such mechanisms lies in understanding the morphology of neural activity on a meaningful and analytically tractable level. The suggested merit of integrating control theory into the analysis lies in providing how a membrane effectively adapts to changes in permeability and through what governing mechanisms. The value in producing such an
understanding lies in mirroring biological reality in a more formal manner than could be achieved solely through experimental means. A bang-bang control policy describing the permeability correction mechanisms is developed using Liapunov's Stability Criteria. Both changes in membrane potential and kinetic rates are required to implement the policy. The policy describes the inherent
mechanisms of the membrane which act to drive its permeability from unstable firing to the resting potential
state. It is shown that these permeability changes in
state are governed by a switching function that depends on the membrane potential and a dominant controlling parameter. The control policy is discussed in the context of solutions of the Hodgkin-Huxley Equations of Ionic Hypothesis.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Membranes (Biology) – Electric properties – Mathematical models
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APA (6th Edition):
Melendy, R. F. (1997). Bang-bang control development of permeability changes in a membrane model. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/9456
Chicago Manual of Style (16th Edition):
Melendy, Robert F. “Bang-bang control development of permeability changes in a membrane model.” 1997. Masters Thesis, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/9456.
MLA Handbook (7th Edition):
Melendy, Robert F. “Bang-bang control development of permeability changes in a membrane model.” 1997. Web. 08 Dec 2019.
Vancouver:
Melendy RF. Bang-bang control development of permeability changes in a membrane model. [Internet] [Masters thesis]. Oregon State University; 1997. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/9456.
Council of Science Editors:
Melendy RF. Bang-bang control development of permeability changes in a membrane model. [Masters Thesis]. Oregon State University; 1997. Available from: http://hdl.handle.net/1957/9456
Oregon State University
2.
Peterson, Patricia A.
A model of the likelihood of stimulation or tolerance of the B lymphocyte.
Degree: MS, Electrical and Computer Engineering, 1985, Oregon State University
URL: http://hdl.handle.net/1957/40366
► The B lymphocyte is the immune cell responsible for the production of antibodies. It has receptor molecules on its surface which bind to a molecule…
(more)
▼ The B lymphocyte is the immune cell responsible
for the production of antibodies. It has receptor
molecules on its surface which bind to a molecule known
as an antigen. The antigen either stimulates the cell
to produce antibodies or tolerizes it so that it is
unable to produce antibodies.
It is thought that the manner in which the antigen
binds to the B cell determines whether the B cell will
be stimulated of tolerized. It is the binding dynamics
between the B cell receptors and the antigen that is
investigated in this thesis.
A model representing the binding dynamics as
determined by the mass action kinetics is simulated on
an HP 1000 computer. The results are discussed and
compared with current immunological theory.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Cell-mediated lympholysis – Mathematical models
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APA (6th Edition):
Peterson, P. A. (1985). A model of the likelihood of stimulation or tolerance of the B lymphocyte. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/40366
Chicago Manual of Style (16th Edition):
Peterson, Patricia A. “A model of the likelihood of stimulation or tolerance of the B lymphocyte.” 1985. Masters Thesis, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/40366.
MLA Handbook (7th Edition):
Peterson, Patricia A. “A model of the likelihood of stimulation or tolerance of the B lymphocyte.” 1985. Web. 08 Dec 2019.
Vancouver:
Peterson PA. A model of the likelihood of stimulation or tolerance of the B lymphocyte. [Internet] [Masters thesis]. Oregon State University; 1985. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/40366.
Council of Science Editors:
Peterson PA. A model of the likelihood of stimulation or tolerance of the B lymphocyte. [Masters Thesis]. Oregon State University; 1985. Available from: http://hdl.handle.net/1957/40366
Oregon State University
3.
Yi, Man Hyung.
Optimization of stochastic dynamic system with random coefficients.
Degree: PhD, Electrical and Computer Engineering, 1983, Oregon State University
URL: http://hdl.handle.net/1957/41401
► The problem of optimization of stochastic dynamic systems with random coefficients is discussed. Systems with both Wiener processes and uncertain random-process disturbances are dealt with…
(more)
▼ The problem of optimization of stochastic dynamic systems with
random coefficients is discussed. Systems with both Wiener processes and uncertain random-process disturbances are dealt with in
this dissertation, and these include certain bilinear stochastic
systems. It is the purpose of this thesis to study the optimal control and, to some extent,
state estimation of such bilinear stochastic systems. By means of stochastic Bellman equation, the
optimal control of stochastic dynamic models with observable and
unobservable coefficients is derived.
The stochastic-system model considered is the observable system
with random coefficients that are a function of the solution of a
certain unobservable Markov process with information data. Under
the assumptions that the solution of the stochastic differential
equation for the dynamic model involved in the problem formulation results in an admissible control and that the measurable information of all
random parameters depend on the conditional-mean estimate to the un-observable stochastic process, the optimal control is a linear
function of the observable states and a nonlinear function of random
parameters.
The theory is then applied to an optimal-control design of an
aircraft landing with a bad weather situation, to the control
problem of longitudinal motion of an aircraft in wind gust, and to
nonlinear filtering and tracking of the maneuvering target. The
flare path compared with the desirable exponential-linear path provides a safe and comfortable landing for the optimal-control policy.
Using the decoupled feedback law of longitudinal aircraft motion,
it is shown that optimal-control policies for the elevator control
angle and the aileron control angle is synthesized with the attack
angle, the orientation rate of the aircraft and an unknown random
parameter. In the final example, a maneuvering target's
state is
estimated. Here, a bilinear stochastic model is assumed such that
discrete velocity changes are at random times.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Stochastic systems
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APA (6th Edition):
Yi, M. H. (1983). Optimization of stochastic dynamic system with random coefficients. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41401
Chicago Manual of Style (16th Edition):
Yi, Man Hyung. “Optimization of stochastic dynamic system with random coefficients.” 1983. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/41401.
MLA Handbook (7th Edition):
Yi, Man Hyung. “Optimization of stochastic dynamic system with random coefficients.” 1983. Web. 08 Dec 2019.
Vancouver:
Yi MH. Optimization of stochastic dynamic system with random coefficients. [Internet] [Doctoral dissertation]. Oregon State University; 1983. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/41401.
Council of Science Editors:
Yi MH. Optimization of stochastic dynamic system with random coefficients. [Doctoral Dissertation]. Oregon State University; 1983. Available from: http://hdl.handle.net/1957/41401
Oregon State University
4.
Halawani, Talal Umar.
An optimal control approximation for a certain class of nonlinear filtering problems.
Degree: PhD, Electrical and Computer Engineering, 1983, Oregon State University
URL: http://hdl.handle.net/1957/41598
► A new approximation technique to a certain class of nonlinear filtering problems is considered in this dissertation. The method is based on an approximation of…
(more)
▼ A new approximation technique to a certain class of nonlinear
filtering problems is considered in this dissertation. The method is
based on an approximation of nonlinear, partially-observable systems
by a stochastic control problem with fully observable
state. The
filter development proceeds from the assumption that the
unobservables are conditionally Gaussian with respect to the
observations initially. The concepts of both conditionally Gaussian
processes and an optimal-control approach to filtering are utilized
in the filter development. A two-step, nonlinear, recursive
estimation procedure (TNF), compatible with the logical structure of
the optimal mean-square estimator, generates a finite-dimensional,
nonlinear filter with improved characteristics over most of the
traditional methods. Moreover, a "close" (in the mean-square sense)
approximation model for the original system will be generated as
well. In general the nonlinear filtering problem does not have a
finite-dimensional recursive synthesis. Thus, the proposed technique
may expand the range of practical problems that can be handled by
nonlinear filtering. A detailed derivation for the filter with
global property is presented. Extension of the results to largescale
nonlinear systems is accomplished by incorporating a novel
decomposition scheme in the filter design.
Application of the developed filter to a scalar nonlinear system
which lacks model "smoothness" is presented in [K2]. Application of
the derived multi-dimensional filtering algorithm to two low-order,
nonlinear tracking problems according to a global criterion and a
local-time criterion respectively are presented. Also, a comparison
with traditional methods, such as the popular Extended-Kalman Filter
(EKE), are given via digital-computer simulation to demonstrate the
effectiveness of the obtained results.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Control theory
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APA (6th Edition):
Halawani, T. U. (1983). An optimal control approximation for a certain class of nonlinear filtering problems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41598
Chicago Manual of Style (16th Edition):
Halawani, Talal Umar. “An optimal control approximation for a certain class of nonlinear filtering problems.” 1983. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/41598.
MLA Handbook (7th Edition):
Halawani, Talal Umar. “An optimal control approximation for a certain class of nonlinear filtering problems.” 1983. Web. 08 Dec 2019.
Vancouver:
Halawani TU. An optimal control approximation for a certain class of nonlinear filtering problems. [Internet] [Doctoral dissertation]. Oregon State University; 1983. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/41598.
Council of Science Editors:
Halawani TU. An optimal control approximation for a certain class of nonlinear filtering problems. [Doctoral Dissertation]. Oregon State University; 1983. Available from: http://hdl.handle.net/1957/41598
Oregon State University
5.
Tang, Zhigiang.
Bilinear stochastic processes and time series.
Degree: PhD, Electrical and Computer Engineering, 1987, Oregon State University
URL: http://hdl.handle.net/1957/39933
► In engineering, biology, ecology, medicine, economics and social science, some processes are essentially bilinear, and some could be approximated accurately by bilinear processes under certain…
(more)
▼ In engineering, biology, ecology, medicine, economics and social
science, some processes are essentially bilinear, and some could be
approximated accurately by bilinear processes under certain conditions.
In this thesis the bilinear stochastic process and bilinear time series
are discussed.
Bilinear models essentially are nonlinear; the superposition rule
is not valid. A useful property, which characterizes the bilinear
feature among the nonlinear ones, is emphasized. The solutions of
deterministic bilinear systems and bilinear stochastic processes are
given. The direct method uses the Lie algebraic structure. For bilinear
stochastic processes, the decomposition to a cascade form is a
generalization of the Volterra-series expansion. Because a correction
term exists in bilinear stochastic differential equations, the
decomposition has two different forms; both of them are convergent. The
lth -order stationarity and asymptotic stationarity of bilinear
stochastic processes and time series are well defined, and the
conditions on parameters for lth -order stationarity are derived.
Affine bilinear models in time-series form are shown to be more
general than bilinear models, and more readily fit certain data. A
special high-order scalar affine bilinear time-series model can be
transferred to a first-order, vector, affine, bilinear model, but need
higher dimension than the linear ARMA model. For first-order affine
bilinear time series two possible methods of parameter estimation are
presented. The moment method uses the relationships between the
parameters, and the second and third-moments to estimate parameters. The
inverse method uses the output data to estimate the input, which is
compared with the standard white Gaussian random sequence, and the
method chooses the parameters of the model to make certain criterion
optimal. For the general non-Gaussian time series an identification
procedure using the inverse method is proposed.
Some examples of analysis and parameter estimation of bilinear
models are provided.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Time-series analysis
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APA (6th Edition):
Tang, Z. (1987). Bilinear stochastic processes and time series. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/39933
Chicago Manual of Style (16th Edition):
Tang, Zhigiang. “Bilinear stochastic processes and time series.” 1987. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/39933.
MLA Handbook (7th Edition):
Tang, Zhigiang. “Bilinear stochastic processes and time series.” 1987. Web. 08 Dec 2019.
Vancouver:
Tang Z. Bilinear stochastic processes and time series. [Internet] [Doctoral dissertation]. Oregon State University; 1987. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/39933.
Council of Science Editors:
Tang Z. Bilinear stochastic processes and time series. [Doctoral Dissertation]. Oregon State University; 1987. Available from: http://hdl.handle.net/1957/39933
Oregon State University
6.
Farooqi, Zarreen H. H.
Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system.
Degree: PhD, Electrical and Computer Engineering, 1986, Oregon State University
URL: http://hdl.handle.net/1957/39917
► This thesis is composed of four parts: i) system description, ii) model development, iii) parameter estimation, and iv) validation. The natural system used here is…
(more)
▼ This thesis is composed of four parts: i) system
description, ii) model development, iii) parameter
estimation, and iv) validation. The natural system used
here is an aspect of the immune system, namely, the
distribution of recirculating lymphocytes in various
organs throughout the body. This distribution gains
importance because: i) it is consequential in effective
defense of the body, and ii) lymphocyte maldistribution
may be a symptom of a disease
state.
Certain deterministic models of lymphocyte
distribution have been published previously. Here,
discrete-time and continuous-time stochastic models are
developed. The class of models studied here are closed
compartmental. The derived structures are a vector
bilinear time series with two inputs (or random
coefficient autoregression) and a vector stochastic
differential equation, respectively, for the discrete
and the continuous cases. Various properties of the
solutions are studied. Parameter estimation for a
7-compartment system is done using nonlinear
optimization with weighted least squares and -2 In
likelihood criteria (assuming Gaussianity for
convenience, though not completely realistic). The
outputs of the models are statistically examined against
best available experimental data. The residual errors
are analyzed for proximity of fit, validity of the
models, Gaussianity, and stationarity. Multiple
comparisons are performed to test lack of fit of
individual compartments and in so doing major sources of
error in estimation are assessed.
The particular class of models studied here are
structurally unstable. The means are marginally stable
and for the estimated values of the parameters the
variances diverge.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Immune system – Mathematical models
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APA (6th Edition):
Farooqi, Z. H. H. (1986). Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/39917
Chicago Manual of Style (16th Edition):
Farooqi, Zarreen H H. “Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system.” 1986. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/39917.
MLA Handbook (7th Edition):
Farooqi, Zarreen H H. “Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system.” 1986. Web. 08 Dec 2019.
Vancouver:
Farooqi ZHH. Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system. [Internet] [Doctoral dissertation]. Oregon State University; 1986. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/39917.
Council of Science Editors:
Farooqi ZHH. Identification of stochastic systems with random parameters with particular reference to the recirculating lymphocytes in the immune system. [Doctoral Dissertation]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/39917
Oregon State University
7.
Bugnon, Francois J.
Team differential games and non-linear signal processing.
Degree: PhD, Electrical and Computer Engineering, 1986, Oregon State University
URL: http://hdl.handle.net/1957/40783
► Team pursuit-evasion games are studied here with one performance index for the team as a unit in competition with one common opponent. Particular structures of…
(more)
▼ Team pursuit-evasion games are studied here with one performance
index for the team as a unit in competition with one common opponent.
Particular structures of team games are discussed after a brief introduction
of the two-player differential games. The classical calculus
of variations is used to derive the feedback strategies for team linear,
quadratic pursuit-evasion games. Several definitions of the performance
index that correspond to different levels of cooperation and
hierarchical organization in the team are investigated. The game of
kind analysis partitions the players and the space according to their
role in the team. Practical solutions to these complex problems rely
best on suboptimal schemes. Thus a structural analysis is presented
with the intent to simplify the computation of optimal decision and
communication processes. Then approximated solutions as well as suboptimal
hierarchies for linear quadratic team games are derived. Twoplayer
games provide a great deal of information concerning the solution
team games, allowing to compute an approximate solution of a
three-player game using a composition method and to derive exactly the solution of a complex linear quadratic team game from a controllability
study by providing terminal-time criteria of selection of
unknowns. Hierarchical structures naturally arise; in particular,
different filtering structures for a stochastic team game are compared.
Detection and localization of the opponent players requires
processing from several sources. In the underwater case, direction
finding techniques may fail because of the environment (multipath
propagation) or, in competitive situations, because of jamming signals.
The non-linear processing method developed to alleviate these
difficulties also increases the class of problems solved by a given
aperture, and is based on the eigenstructure method applied to Mth-order
multiplicative signals.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Differential games
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APA (6th Edition):
Bugnon, F. J. (1986). Team differential games and non-linear signal processing. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/40783
Chicago Manual of Style (16th Edition):
Bugnon, Francois J. “Team differential games and non-linear signal processing.” 1986. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/40783.
MLA Handbook (7th Edition):
Bugnon, Francois J. “Team differential games and non-linear signal processing.” 1986. Web. 08 Dec 2019.
Vancouver:
Bugnon FJ. Team differential games and non-linear signal processing. [Internet] [Doctoral dissertation]. Oregon State University; 1986. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/40783.
Council of Science Editors:
Bugnon FJ. Team differential games and non-linear signal processing. [Doctoral Dissertation]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/40783
Oregon State University
8.
Zakrzewski, Radoslaw Romuald.
Neural network control of nonlinear discrete time systems.
Degree: PhD, Electrical and Computer Engineering, 1994, Oregon State University
URL: http://hdl.handle.net/1957/35015
► The main focus of this work is on the problem of existence of nonlinear optimal controllers realizable by artificial neural networks. Theoretical justification, currently available…
(more)
▼ The main focus of this work is on the problem of existence of nonlinear optimal controllers
realizable by artificial neural networks. Theoretical justification, currently
available for control applications of neural networks, is rather limited. For example,
it is unclear which neural architectures are capable of performing which control
tasks. This work addresses applicability of neural networks to the synthesis of approximately
optimal
state feedback. Discrete-time setting is considered, which brings
extra regularity into the problem and simplifies mathematical analysis. Two classes
of optimal control problems are studied: time-optimal control and optimal control
with summable quality index. After appropriate relaxation of the optimization problem,
the existence of a suboptimal feedback mapping is demonstrated in both cases.
It is shown that such a feedback may be realized by a multilayered network with
discontinuous neuron activation functions. For continuous networks, similar results
are obtained, with the existence of suboptimal feedback demonstrated, except for
a set of initial states of an arbitrarily small measure. The theory developed here
provides basis for an attractive approach of the synthesis of near-optimal feedback
using neural networks trained on optimal trajectories generated in open loop. Potential
advantages of control based on neural networks are illustrated on application
to stabilization of interconnected power systems. A nearly time-optimal controller is
designed for a single-machine system using neural networks. The obtained controller
is then utilized as an element of a hierarchical control architecture used for stabilization
of a multimachine power transmission system. This example demonstrates
applicability of neural control to complicated, nonlinear dynamic systems.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Neural networks (Computer science)
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APA (6th Edition):
Zakrzewski, R. R. (1994). Neural network control of nonlinear discrete time systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/35015
Chicago Manual of Style (16th Edition):
Zakrzewski, Radoslaw Romuald. “Neural network control of nonlinear discrete time systems.” 1994. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/35015.
MLA Handbook (7th Edition):
Zakrzewski, Radoslaw Romuald. “Neural network control of nonlinear discrete time systems.” 1994. Web. 08 Dec 2019.
Vancouver:
Zakrzewski RR. Neural network control of nonlinear discrete time systems. [Internet] [Doctoral dissertation]. Oregon State University; 1994. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/35015.
Council of Science Editors:
Zakrzewski RR. Neural network control of nonlinear discrete time systems. [Doctoral Dissertation]. Oregon State University; 1994. Available from: http://hdl.handle.net/1957/35015
Oregon State University
9.
Bean, Ronnie A.
Nonlinear control of high performance aircraft.
Degree: MS, Electrical and Computer Engineering, 1994, Oregon State University
URL: http://hdl.handle.net/1957/35260
► This thesis presents the design of various controllers for a highly maneuverable, high performance aircraft, namely the modified F-18. The aircraft was required to perform…
(more)
▼ This thesis presents the design of various controllers for a highly maneuverable,
high performance aircraft, namely the modified F-18. The aircraft
was required to perform high angle-of-attack maneuvers, for which the aircraft
behaves in as a highly nonlinear system. An adaptive PID controller
was used to control the aircraft through these high angle-of-attack maneuvers.
Several nonlinear controllers were then developed based on the adaptive PID
control, and were tested for robustness. This thesis also looks at an improvement
in the aircraft which may improve performance in high angle-of-attack
maneuvers.
The contributions of this thesis are in the areas of control, in general, and
specifically in the area of aircraft control. Successful application of linear
adaptive control and nonlinear control were presented. In the area of aircraft
control, controllers were presented which produce good performance for high
angle-of-attack maneuvers, while maintaining implementability. Also, some
insight is gained into what aircraft changes could improve performance.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Jet planes; Military – Automatic control – Mathematical models
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APA (6th Edition):
Bean, R. A. (1994). Nonlinear control of high performance aircraft. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/35260
Chicago Manual of Style (16th Edition):
Bean, Ronnie A. “Nonlinear control of high performance aircraft.” 1994. Masters Thesis, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/35260.
MLA Handbook (7th Edition):
Bean, Ronnie A. “Nonlinear control of high performance aircraft.” 1994. Web. 08 Dec 2019.
Vancouver:
Bean RA. Nonlinear control of high performance aircraft. [Internet] [Masters thesis]. Oregon State University; 1994. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/35260.
Council of Science Editors:
Bean RA. Nonlinear control of high performance aircraft. [Masters Thesis]. Oregon State University; 1994. Available from: http://hdl.handle.net/1957/35260
Oregon State University
10.
Fernandes, Stephen Ronald.
Analysis and control of power systems using orthogonal expansions.
Degree: MS, Electrical and Computer Engineering, 1992, Oregon State University
URL: http://hdl.handle.net/1957/37340
► In recent years, considerable attention has been focused on the application of orthogonal expansions to system analysis, parameter identification, model reduction and control system design.…
(more)
▼ In recent years, considerable attention has been focused on the application of
orthogonal expansions to system analysis, parameter identification, model reduction
and control system design. However, little research has been done in applying their
useful properties to Power System analysis and control. This research attempts to
make some inroads in applying the so called " orthogonal expansion approach " to
analysis and control of Power systems, especially the latter.
A set of orthogonal functions commonly called Walsh functions in system
science after it's discoverer J.L. Walsh [1923] have been successfully used for
parameter identification in the presence of severe nonlinearities. The classical optimal
control problem is applied to a synchronous machine infinite bus system via the
orthogonal expansion approach and a convenient method outlined for designing PID
controllers which can achieve prespecified closed loop response characteristics. The
latter is then applied for designing a dynamic series capacitor controller for a single
machine infinite bus system.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Electric power systems – Control
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APA (6th Edition):
Fernandes, S. R. (1992). Analysis and control of power systems using orthogonal expansions. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37340
Chicago Manual of Style (16th Edition):
Fernandes, Stephen Ronald. “Analysis and control of power systems using orthogonal expansions.” 1992. Masters Thesis, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/37340.
MLA Handbook (7th Edition):
Fernandes, Stephen Ronald. “Analysis and control of power systems using orthogonal expansions.” 1992. Web. 08 Dec 2019.
Vancouver:
Fernandes SR. Analysis and control of power systems using orthogonal expansions. [Internet] [Masters thesis]. Oregon State University; 1992. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/37340.
Council of Science Editors:
Fernandes SR. Analysis and control of power systems using orthogonal expansions. [Masters Thesis]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/37340
Oregon State University
11.
Yang, Xueshan.
Stability of discrete bilinear systems.
Degree: PhD, Electrical and Computer Engineering, 1989, Oregon State University
URL: http://hdl.handle.net/1957/41119
Subjects/Keywords: Stochastic systems
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APA (6th Edition):
Yang, X. (1989). Stability of discrete bilinear systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/41119
Chicago Manual of Style (16th Edition):
Yang, Xueshan. “Stability of discrete bilinear systems.” 1989. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/41119.
MLA Handbook (7th Edition):
Yang, Xueshan. “Stability of discrete bilinear systems.” 1989. Web. 08 Dec 2019.
Vancouver:
Yang X. Stability of discrete bilinear systems. [Internet] [Doctoral dissertation]. Oregon State University; 1989. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/41119.
Council of Science Editors:
Yang X. Stability of discrete bilinear systems. [Doctoral Dissertation]. Oregon State University; 1989. Available from: http://hdl.handle.net/1957/41119
Oregon State University
12.
Shoji, Fumihiro Frank.
Simplification of large linear systems using two-step iterative method.
Degree: E.E., 1979, Oregon State University
URL: http://hdl.handle.net/1957/42605
► The order of the practical system (e.g. nuclear power plants, electrical power network and chemical plant) is quite large. However, there are many limitations in…
(more)
▼ The order of the practical system (e.g. nuclear power
plants, electrical power network and chemical plant) is
quite large. However, there are many limitations in computing
facilities for the large system. Because of these
limitations, it is often necessary to reduce the order of
the large system using an approximation.
Here the simple iterative technique which is free of
certain shortcomings of the previous method is proposed
for the approximation of large linear systems by a low-order
model. A measure of the goodness of the model is the
value of the integral-square error between the step responses
of the exact and the simplified system.
The proposed technique consists of a two-step iterative
scheme. In the first step, the optimum residues are
obtained by the minimization of the objective function,
while the poles (or eigenvalues) are kept constant. In
the second step, the poles (or eigenvalues) are optimized
while the residues remain fixed. This procedure is continued
cyclically until the objective function is satisfactorily
minimized.
The necessary and sufficient conditions for existence
of an optimum are satisfied in each step. The residues,
poles (or eigenvalues) and objective functions always converge
monotomically. The resulting reduced-order model
obtained by this method is stable if the original system is
stable. The method can be applied not only to single-variable
systems, but also to systems with repeated poles
(or eigenvalues) and to multivariable systems. The results
are superior to those obtained previously in the steady-
state
and transient responses, and the value of the
integral-square error.
Illustrative examples are presented.
Advisors/Committee Members: Mohler, Ronald R. (advisor).
Subjects/Keywords: Approximation theory
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APA (6th Edition):
Shoji, F. F. (1979). Simplification of large linear systems using two-step iterative method. (Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/42605
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Shoji, Fumihiro Frank. “Simplification of large linear systems using two-step iterative method.” 1979. Thesis, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/42605.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Shoji, Fumihiro Frank. “Simplification of large linear systems using two-step iterative method.” 1979. Web. 08 Dec 2019.
Vancouver:
Shoji FF. Simplification of large linear systems using two-step iterative method. [Internet] [Thesis]. Oregon State University; 1979. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/42605.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Shoji FF. Simplification of large linear systems using two-step iterative method. [Thesis]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/42605
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Oregon State University
13.
Hwang, Chun Sik.
Observability and information structure of nonlinear systems.
Degree: PhD, Electrical and Computer Engineering, 1985, Oregon State University
URL: http://hdl.handle.net/1957/39930
► An observability problem for both deterministic and stochastic systems is studied here. Deterministic observability is a determination of whether every state of the system is…
(more)
▼ An observability problem for both deterministic and stochastic
systems is studied here.
Deterministic observability is a determination of whether every
state of the system is connected to the observation mechanism and how
it is connected, if connected. On the other hand, stochastic
observability discusses the "tightness" of the connection in terms of
the chosen statistical sense.
For the deterministic system observability two conditions,
connectedness and univalence, are obtained from modification of the
global implicit-function theorem. Depending on how the conditions are
satisfied observability is classified in three categories;
observability in the strict sense, observability in the wide sense and
the unobservable case.
Two underwater tracking examples, the bearing-only-target (BOT)
problem described in the mixed-coordinate system, and an array SONAR problem described in terms of a small number of sensors and various
measurement policies are analyzed.
For the stochastic system observability, an information theoretic
approach is introduced. The Shannon concepts of information are
considered instead of Fisher information. Computed here is the mutual
information between the
state and the observation. Since this
quantity is expressed as an entropy difference between a priori and a
posteriori processes, two densities are required for computation. Due
to the difficulty in solving the density equation, the second moment
approximation of the densities is considered here. Then, the mutual
information is used as a criterion to determine the "degree of
observability."
Information sensitivity with respect to various coordinate
systems, including rectangular, modified polar and mixed coordinates
are analyzed for the BOT system. In an array SONAR, a combination of
relative delay and Doppler measurements for up to three sensors are
compared.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Bucolo, Richard J. (committee member).
Subjects/Keywords: Nonlinear functional analysis
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APA (6th Edition):
Hwang, C. S. (1985). Observability and information structure of nonlinear systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/39930
Chicago Manual of Style (16th Edition):
Hwang, Chun Sik. “Observability and information structure of nonlinear systems.” 1985. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/39930.
MLA Handbook (7th Edition):
Hwang, Chun Sik. “Observability and information structure of nonlinear systems.” 1985. Web. 08 Dec 2019.
Vancouver:
Hwang CS. Observability and information structure of nonlinear systems. [Internet] [Doctoral dissertation]. Oregon State University; 1985. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/39930.
Council of Science Editors:
Hwang CS. Observability and information structure of nonlinear systems. [Doctoral Dissertation]. Oregon State University; 1985. Available from: http://hdl.handle.net/1957/39930
Oregon State University
14.
Chen, Dingguo.
Nonlinear neural control with power systems applications.
Degree: PhD, Electrical and Computer Engineering, 1998, Oregon State University
URL: http://hdl.handle.net/1957/33519
► Extensive studies have been undertaken on the transient stability of large interconnected power systems with flexible ac transmission systems (FACTS) devices installed. Varieties of control…
(more)
▼ Extensive studies have been undertaken on the transient stability of large interconnected
power systems with flexible ac transmission systems (FACTS) devices installed.
Varieties of control methodologies have been proposed to stabilize the postfault system
which would otherwise eventually lose stability without a proper control. Generally speaking,
regular transient stability is well understood, but the mechanism of load-driven voltage
instability or voltage collapse has not been well understood. The interaction of generator
dynamics and load dynamics makes synthesis of stabilizing controllers even more challenging.
There is currently increasing interest in the research of neural networks as identifiers
and controllers for dealing with dynamic time-varying nonlinear systems. This study
focuses on the development of novel artificial neural network architectures for identification
and control with application to dynamic electric power systems so that the stability of the
interconnected power systems, following large disturbances, and/or with the inclusion of
uncertain loads, can be largely enhanced, and stable operations are guaranteed.
The latitudinal neural network architecture is proposed for the purpose of system
identification. It may be used for identification of nonlinear static/dynamic loads, which
can be further used for static/dynamic voltage stability analysis. The properties associated
with this architecture are investigated.
A neural network methodology is proposed for dealing with load modeling and
voltage stability analysis. Based on the neural network models of loads, voltage stability
analysis evolves, and modal analysis is performed. Simulation results are also provided.
The transient stability problem is studied with consideration of load effects. The
hierarchical neural control scheme is developed. Trajectory-following policy is used so that
the hierarchical neural controller performs as almost well for non-nominal cases as they do
for the nominal cases. The adaptive hierarchical neural control scheme is also proposed
to deal with the time-varying nature of loads. Further, adaptive neural control, which is
based on the on-line updating of the weights and biases of the neural networks, is studied.
Simulations provided on the faulted power systems with unknown loads suggest that the
proposed adaptive hierarchical neural control schemes should be useful for practical power
applications.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Kolodziej, Wojtek (committee member).
Subjects/Keywords: Neural networks (Computer science)
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APA (6th Edition):
Chen, D. (1998). Nonlinear neural control with power systems applications. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/33519
Chicago Manual of Style (16th Edition):
Chen, Dingguo. “Nonlinear neural control with power systems applications.” 1998. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/33519.
MLA Handbook (7th Edition):
Chen, Dingguo. “Nonlinear neural control with power systems applications.” 1998. Web. 08 Dec 2019.
Vancouver:
Chen D. Nonlinear neural control with power systems applications. [Internet] [Doctoral dissertation]. Oregon State University; 1998. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/33519.
Council of Science Editors:
Chen D. Nonlinear neural control with power systems applications. [Doctoral Dissertation]. Oregon State University; 1998. Available from: http://hdl.handle.net/1957/33519
Oregon State University
15.
Koo, Chang Sul.
Sliding-mode control of the super maneuverable aircraft.
Degree: PhD, Electrical and Computer Engineering, 1993, Oregon State University
URL: http://hdl.handle.net/1957/35615
► In this thesis, A nonlinear methodology for the control of the highly maneuverable, high performance aircraft HARV (F-18) is studied by using sliding-mode control (SMC).…
(more)
▼ In this thesis, A nonlinear methodology for the control of the highly
maneuverable, high performance aircraft HARV (F-18) is studied by using sliding-mode
control (SMC). This control law, which takes a continuous function when the
input constraints are not considered, satisfies the reachability condition by which
concerned states are driven to their sliding surfaces. Especially, this SMC is
generalized for the so-called (square) uncoupled multi-input multi-output (MIMO)
system by the use of error dynamics and applied directly to the nonlinear aircraft
system without linearizing the system.
For the practical application of the SMC to aircraft with input constraints, two
control schemes are used, considering that variations of pitch rate q directly affect
variations of the angle of attack. The first scheme consists of an α-q control for the
fast response. The second scheme consists an a-control for making the output
approach its sliding surface slowly by setting boundary layers and adjusting reachable
speeds to the sliding surface.
Robustness to parameter uncertainties and disturbances is also studied for the
SMC. Especially, when the effect of parameter uncertainties is severe, then multiple
boundary layers are set in the neighborhood of sliding surface, in which different
reachable speeds to the sliding surface are used to sustain the concerned
state within
the boundary layer and to reduce the effect of chattering.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Kolodziej, W. (committee member).
Subjects/Keywords: Airplanes – Control systems
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APA (6th Edition):
Koo, C. S. (1993). Sliding-mode control of the super maneuverable aircraft. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/35615
Chicago Manual of Style (16th Edition):
Koo, Chang Sul. “Sliding-mode control of the super maneuverable aircraft.” 1993. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/35615.
MLA Handbook (7th Edition):
Koo, Chang Sul. “Sliding-mode control of the super maneuverable aircraft.” 1993. Web. 08 Dec 2019.
Vancouver:
Koo CS. Sliding-mode control of the super maneuverable aircraft. [Internet] [Doctoral dissertation]. Oregon State University; 1993. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/35615.
Council of Science Editors:
Koo CS. Sliding-mode control of the super maneuverable aircraft. [Doctoral Dissertation]. Oregon State University; 1993. Available from: http://hdl.handle.net/1957/35615
Oregon State University
16.
Eo, Jin-woo.
Multi-variate morphological filtering with applications to color image processing.
Degree: PhD, Electrical and Computer Engineering, 1992, Oregon State University
URL: http://hdl.handle.net/1957/36261
► Mathematical morphology, developed in the early 1960's for single-component signals, has been applied to a number of image processing applications. This investigation examines the systematic…
(more)
▼ Mathematical morphology, developed in the early 1960's for
single-component signals, has been applied to a number of image
processing applications. This investigation examines the systematic
extension of mathematical morphology to multi-variate signals.
Two approaches are considered. The first approach, the
extension of the theory of single-component morphological filters to
multi-variate case, fails for reason of the lack of ordering within signal
range space. Therefore, as a second approach, a two stage processing
technique was proposed, consisting of the maximum separation of the
object from its background feature and separate morphological
filtering of each component. To separate the object from its
background, a mapping technique, based upon the normalization and
simultaneous diagonalization of sample covariance matrices (NADCVM),
was applied. Sample variance morphological measure
interpretation demonstrated that NAD-CVM mapping constitutes an
excellent preprocessing tool for morphological filtering of multivariate
signals. An unsupervised NAD-CVM implementation and a
morphological edge detector were tested experimentally to verify the
properties of the theoretical algorithm. In addition, a method for the
application of the proposed method to the analysis of color images was
presented.
Advisors/Committee Members: Kolodziej, W.J. (advisor), Mohler, Ronald R. (committee member).
Subjects/Keywords: Image processing
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APA (6th Edition):
Eo, J. (1992). Multi-variate morphological filtering with applications to color image processing. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/36261
Chicago Manual of Style (16th Edition):
Eo, Jin-woo. “Multi-variate morphological filtering with applications to color image processing.” 1992. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/36261.
MLA Handbook (7th Edition):
Eo, Jin-woo. “Multi-variate morphological filtering with applications to color image processing.” 1992. Web. 08 Dec 2019.
Vancouver:
Eo J. Multi-variate morphological filtering with applications to color image processing. [Internet] [Doctoral dissertation]. Oregon State University; 1992. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/36261.
Council of Science Editors:
Eo J. Multi-variate morphological filtering with applications to color image processing. [Doctoral Dissertation]. Oregon State University; 1992. Available from: http://hdl.handle.net/1957/36261
Oregon State University
17.
Lee, Kwon Soon.
Mathematical modeling and the control of immune processes with application to cancer.
Degree: PhD, Electrical and Computer Engineering, 1990, Oregon State University
URL: http://hdl.handle.net/1957/37483
► A foundation for the control of tumors is presented, based upon the formulation of a realistic, knowledge-based mathematical model of the interaction between tumor cells…
(more)
▼ A foundation for the control of tumors is presented,
based upon the formulation of a realistic, knowledge-based
mathematical model of the interaction between tumor cells
and the immune system. The parametric control variables
relevant to the latest experimental data, e.g., the sigmoidal
dose-response relationship and Michaelis-Menten dynamics,
are also considered. The model consists of 12
states, each composed of first-order, nonlinear differential
equations based on cellular kinetics and each of which can
be modeled bilinearly.
In recent years a great deal of clinical progress has
been achieved in the use of optimal controls to improve cancer
therapy patient care. For this study, a cancer immunotherapy
problem is investigated in which the aim is to
minimize the tumor burden at the end of the treatment period, while penalizing excessive administration of
interleukin-2 as a limit of toxicity. The optimal solution
developed for this investigation is a mixture of an initially
large dose of interleukin-2, followed by a gradually
decreased dosage and a continuing infusion to maintain the
tumor cell population at its allowable limit.
Sensitivity analysis is applied to an investigation of
the influences of system parameters. It has been found that
the immune system is influenced greatly by several parameters
such as macrophage level, tumor killing rate, tumor
growth rate, and IL-2 level.
The simulation results suggest that parametric control
variables are important in the destruction of tumors and
that the application of exacerbation theory is a good method
of tumor control.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Nibler, J. W. (committee member).
Subjects/Keywords: Cancer – Immunological aspects – Mathematical models
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APA (6th Edition):
Lee, K. S. (1990). Mathematical modeling and the control of immune processes with application to cancer. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/37483
Chicago Manual of Style (16th Edition):
Lee, Kwon Soon. “Mathematical modeling and the control of immune processes with application to cancer.” 1990. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/37483.
MLA Handbook (7th Edition):
Lee, Kwon Soon. “Mathematical modeling and the control of immune processes with application to cancer.” 1990. Web. 08 Dec 2019.
Vancouver:
Lee KS. Mathematical modeling and the control of immune processes with application to cancer. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/37483.
Council of Science Editors:
Lee KS. Mathematical modeling and the control of immune processes with application to cancer. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37483
Oregon State University
18.
Kwon, Tae-hwan.
Restoration of quadratically distorted images.
Degree: PhD, Electrical and Computer Engineering, 1990, Oregon State University
URL: http://hdl.handle.net/1957/37485
► The problem of the restoration of quadratically distorted images is considered in this investigation, based upon the fact that images formed by partially coherent illuminations…
(more)
▼ The problem of the restoration of quadratically
distorted images is considered in this investigation, based
upon the fact that images formed by partially coherent
illuminations are related quadratically to the amplitude of
the object. Two of the most important problems in image
restoration are: 1) determining the degradation
characteristics of the degraded image and 2) developing
restoration algorithms. Among the two classes of inverse
problems, one for system identification and the second for
image restoration, only the means to solve the latter are
presented in this study.
Since the present problem is represented by the second-order
term of a Volterra series expansion, multidimensional
Volterra filter theory is presented with emphasis on the
properties of two-dimensional quadratic filter.
The mathematics of inverse problems is presented for
the purpose of image restoration, and the novel algorithms
which are simple and easy to implement and robust to the
ill-conditioned system in comparison to the existing
algorithms are proposed. Since quadratically distorted
imaging systems preclude a closed-form solution, approximate
solutions are obtained through application of the proposed
iterative and noniterative schemes. Images restored
approximately by the proposed algorithms can be improved
substantially by the use of a Newton-Raphson iteration
scheme.
Two typical regularization methods are presented and
the truncated singular-value decomposition method is applied
for the noisy image restoration. Regularized iterative
restoration schemes for the noisy image restoration are also
considered. Simulation examples for different issues are
presented.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Tripathi, V. (committee member).
Subjects/Keywords: Image processing
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APA (6th Edition):
Kwon, T. (1990). Restoration of quadratically distorted images. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/37485
Chicago Manual of Style (16th Edition):
Kwon, Tae-hwan. “Restoration of quadratically distorted images.” 1990. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/37485.
MLA Handbook (7th Edition):
Kwon, Tae-hwan. “Restoration of quadratically distorted images.” 1990. Web. 08 Dec 2019.
Vancouver:
Kwon T. Restoration of quadratically distorted images. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/37485.
Council of Science Editors:
Kwon T. Restoration of quadratically distorted images. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/37485
Oregon State University
19.
Ill-keun Rhee.
Nonlinear approach to the direction finding problem in array processing.
Degree: PhD, Electrical and Computer Engineering, 1990, Oregon State University
URL: http://hdl.handle.net/1957/38387
► In sonar or radar array processing, one of the most important objectives is to estimate the angles of incidence of distant source signals in a…
(more)
▼ In sonar or radar array processing, one of the most important objectives is to estimate the angles of incidence of distant source signals in a noisy environment. The standard eigenstructure-based method, which is known to yield high resolution spectral estimates for solving the direction finding problem, relies on the assumption that additive sensor noises are white Gaussian processes that are spatially uncorrelated between sensors. In the cases of correlated noise fields, non-Gaussian noises, highly correlated source signals, relatively low signal-to-noise (S/N) ratio, and/or very closely located source signals, direction finding performance based on the standard eigenstructure algorithm is severely degraded. For this study, the (ordinary) nonlinear second-order method (SOM) and revised nonlinear SOM, along with the generalized eigenstructure algorithm, which decorrelates correlated noise fields with known or estimated noise correlation coefficients, are discussed. Ordinary and revised SOMs produce new data sequences, or "second-order signals", by auto-convolution of the original data sequences that were corrupted by additive noises on the sensor array. By reference to appropriate algebraic calculations, an eigenstructure orthogonality relationship, which is similar to the classical first-order method (FOM) that deals directly with original data sequences, is derived. It is also demonstrated that the revised SOM can be used more effectively than the (ordinary) SOM in conjunction with an FOM, such as multiple-signal classification (MUSIC) or many of its subsequent variations, to accommodate troublesome cases such as closely located, multiple (coherent) sources, limited numbers of sensors, correlated Gaussian noises lacking information on the noise correlation coefficients, non-Gaussian noises, and a low S/N ratio. Based on computer simulation, examples of analysis and estimations for the direction finding problems in several environments are provided. Furthermore, the theoretical derivations of the S/N ratios for the FOM and SOM, as well as the threshold S/N ratios for very closely spaced multiple sources and a statistical consideration of the computer simulation results, are presented.
Advisors/Committee Members: Mohler, Ronald R. (advisor), Engelbrecht, R. (committee member).
Subjects/Keywords: Signal processing – Digital techniques
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APA (6th Edition):
Rhee, I. (1990). Nonlinear approach to the direction finding problem in array processing. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/38387
Chicago Manual of Style (16th Edition):
Rhee, Ill-keun. “Nonlinear approach to the direction finding problem in array processing.” 1990. Doctoral Dissertation, Oregon State University. Accessed December 08, 2019.
http://hdl.handle.net/1957/38387.
MLA Handbook (7th Edition):
Rhee, Ill-keun. “Nonlinear approach to the direction finding problem in array processing.” 1990. Web. 08 Dec 2019.
Vancouver:
Rhee I. Nonlinear approach to the direction finding problem in array processing. [Internet] [Doctoral dissertation]. Oregon State University; 1990. [cited 2019 Dec 08].
Available from: http://hdl.handle.net/1957/38387.
Council of Science Editors:
Rhee I. Nonlinear approach to the direction finding problem in array processing. [Doctoral Dissertation]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/38387
. 
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