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You searched for +publisher:"University of Florida" +contributor:("Khargonekar, Pramod"). Showing records 1 – 28 of 28 total matches.

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University of Florida

1. Pan, Miao. Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 Cognitive radio technology is a promising solution to the dilemma between the ever-increasing spectrum demand brought by the booming growth of wireless services and the… (more)

Subjects/Keywords: Auctioneers; Auctions; Bandwidth; Bidding; Heuristics; Opportunistic behavior; Radio spectrum; Scheduling; Simulations; Spectral bands; architecture  – cognitiveradio  – modeling  – networking  – optimization

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APA (6th Edition):

Pan, M. (2012). Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044645

Chicago Manual of Style (16th Edition):

Pan, Miao. “Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044645.

MLA Handbook (7th Edition):

Pan, Miao. “Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design.” 2012. Web. 27 Feb 2020.

Vancouver:

Pan M. Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044645.

Council of Science Editors:

Pan M. Spectrum Management in Multi-Hop Cognitive Radio Networks Architecture, Modeling and Design. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044645


University of Florida

2. Nivison, Scott A. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.

Degree: PhD, Electrical and Computer Engineering, 2017, University of Florida

The task of hypersonic vehicle (HSV) flight control is both intriguing and complicated. HSV control requires dealing with interactions between structural, aerodynamic Advisors/Committee Members: KHARGONEKAR,PRAMOD P (committee chair), DIXON,WARREN E (committee member), FITZ-COY,NORMAN G (committee member).

Subjects/Keywords: adaptive  – hypersonic  – learning  – lyapunov

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APA (6th Edition):

Nivison, S. A. (2017). Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051837

Chicago Manual of Style (16th Edition):

Nivison, Scott A. “Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.” 2017. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0051837.

MLA Handbook (7th Edition):

Nivison, Scott A. “Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications.” 2017. Web. 27 Feb 2020.

Vancouver:

Nivison SA. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. [Internet] [Doctoral dissertation]. University of Florida; 2017. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0051837.

Council of Science Editors:

Nivison SA. Sparse and Deep Learning-Based Nonlinear Control Design with Hypersonic Flight Applications. [Doctoral Dissertation]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051837


University of Florida

3. Chakraborty, Pratyush. Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid.

Degree: PhD, Electrical and Computer Engineering, 2016, University of Florida

 In this dissertation, we propose different methods in the supply and demand side of modern power system in order to handle the variability and uncertainty… (more)

Subjects/Keywords: Causation; Consumer prices; Cooperative games; Cost allocation; Cost functions; Cost principle; Game theory; Prices; Profitability theory; Renewable energy; cooperative-game-theory  – cost-allocation  – cost-causation  – demand-response  – efficiency-bound  – non-cooperative-game-theory  – price-of-anarchy  – renewable-energy-aggregation

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APA (6th Edition):

Chakraborty, P. (2016). Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0050541

Chicago Manual of Style (16th Edition):

Chakraborty, Pratyush. “Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid.” 2016. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0050541.

MLA Handbook (7th Edition):

Chakraborty, Pratyush. “Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid.” 2016. Web. 27 Feb 2020.

Vancouver:

Chakraborty P. Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0050541.

Council of Science Editors:

Chakraborty P. Optimization and Control of Flexible Demand and Renewable Supply in a Smart Power Grid. [Doctoral Dissertation]. University of Florida; 2016. Available from: http://ufdc.ufl.edu/UFE0050541


University of Florida

4. BOYKIN,ERIN RAE. Detecting effective connectivity in neural time series.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

 Time series inference techniques for analyzing the directionality of interactions in dynamic systems have become popular tools in the neuroscience community for identifying the effective… (more)

Subjects/Keywords: Causality; Connectivity; Datasets; Decision trees; Inference; Neurons; Oscillators; Signals; Statistical discrepancies; Time series; EFFECTIVE  – GRANGER  – NEURAL

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APA (6th Edition):

RAE, B. (2011). Detecting effective connectivity in neural time series. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042776

Chicago Manual of Style (16th Edition):

RAE, BOYKIN,ERIN. “Detecting effective connectivity in neural time series.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042776.

MLA Handbook (7th Edition):

RAE, BOYKIN,ERIN. “Detecting effective connectivity in neural time series.” 2011. Web. 27 Feb 2020.

Vancouver:

RAE B. Detecting effective connectivity in neural time series. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042776.

Council of Science Editors:

RAE B. Detecting effective connectivity in neural time series. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042776


University of Florida

5. Wu, Jun. Molecular Motor Forces and Nuclear Positioning in Living Cells.

Degree: PhD, Chemical Engineering, 2012, University of Florida

 The nucleus is the largest and heaviest organelle in a cell and its proper positioning is crucial for basic cell functions, such as cell migration,… (more)

Subjects/Keywords: Bleaching; Cells; Centrosomes; Fibroblasts; Fluorescence; Microtubules; Modeling; Molecules; Simulations; Trailing edges; actomyosin  – centrosome  – dynein  – force  – frap  – microtubule  – nuclear  – positioning  – rotation

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APA (6th Edition):

Wu, J. (2012). Molecular Motor Forces and Nuclear Positioning in Living Cells. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044035

Chicago Manual of Style (16th Edition):

Wu, Jun. “Molecular Motor Forces and Nuclear Positioning in Living Cells.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044035.

MLA Handbook (7th Edition):

Wu, Jun. “Molecular Motor Forces and Nuclear Positioning in Living Cells.” 2012. Web. 27 Feb 2020.

Vancouver:

Wu J. Molecular Motor Forces and Nuclear Positioning in Living Cells. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044035.

Council of Science Editors:

Wu J. Molecular Motor Forces and Nuclear Positioning in Living Cells. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044035


University of Florida

6. Chandran,Manu. Analysis of Bayesian Group-Lasso in Regression Models.

Degree: MS, Electrical and Computer Engineering, 2011, University of Florida

 The Group-Lasso estimator, used in regression analysis, does not calculate the variance estimates of regression coefficients. Such estimates are important, since they represent the confidence… (more)

Subjects/Keywords: Datasets; Error rates; Group size; Group structure; Linear regression; Machine learning; Mathematical variables; Parametric models; Regression analysis; Statistical discrepancies; bayesian  – feature  – group  – lasso  – selection

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APA (6th Edition):

Chandran,Manu. (2011). Analysis of Bayesian Group-Lasso in Regression Models. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043490

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Chandran,Manu. “Analysis of Bayesian Group-Lasso in Regression Models.” 2011. Masters Thesis, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0043490.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Chandran,Manu. “Analysis of Bayesian Group-Lasso in Regression Models.” 2011. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Chandran,Manu. Analysis of Bayesian Group-Lasso in Regression Models. [Internet] [Masters thesis]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0043490.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Chandran,Manu. Analysis of Bayesian Group-Lasso in Regression Models. [Masters Thesis]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043490

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

7. Zhang,Chi. Improving the Performance and Security of Multi-Hop Wireless Networks.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

Multi-hop wireless networks (or wireless ad hoc networks) have been widely accepted as an indispensable component of next-generation communication systems Advisors/Committee Members: Fang, Yuguang (committee chair), Wu, Dapeng (committee member), Khargonekar, Pramod (committee member), Chen, Shigang (committee member).

Subjects/Keywords: Algebra; Bartering; Broadcasting industry; Community structure; Distance functions; Inference; Network security; Property trusts; Sensors; Tradeoffs; network  – performance  – security  – wireless

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APA (6th Edition):

Zhang,Chi. (2011). Improving the Performance and Security of Multi-Hop Wireless Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042891

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Zhang,Chi. “Improving the Performance and Security of Multi-Hop Wireless Networks.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042891.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Zhang,Chi. “Improving the Performance and Security of Multi-Hop Wireless Networks.” 2011. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Zhang,Chi. Improving the Performance and Security of Multi-Hop Wireless Networks. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042891.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Zhang,Chi. Improving the Performance and Security of Multi-Hop Wireless Networks. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042891

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

8. Stanley, David A. Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy.

Degree: PhD, Biomedical Engineering, 2013, University of Florida

 For over a century epileptic seizures have been known to cluster at specific times of the day. Recent studies have suggested that the circadian regulatory… (more)

Subjects/Keywords: Circadian rhythm; Epilepsy; Hippocampus; Neurons; Phase shift; Pyramidal cells; Rats; Seizures; Septum; Vibrational frequencies; circadian  – epilepsy  – hippocampus

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APA (6th Edition):

Stanley, D. A. (2013). Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045234

Chicago Manual of Style (16th Edition):

Stanley, David A. “Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy.” 2013. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0045234.

MLA Handbook (7th Edition):

Stanley, David A. “Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy.” 2013. Web. 27 Feb 2020.

Vancouver:

Stanley DA. Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0045234.

Council of Science Editors:

Stanley DA. Hippocampal Circadian Rhythms in Temporal Lobe Epilepsy. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045234


University of Florida

9. Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Notions of optimal behavior expressed in natural systems led researchers to develop reinforcement learning (RL) as a computational tool in machine learning to learn actions… (more)

Subjects/Keywords: Approximation; Human error; Identifiers; Learning modalities; Machine learning; Neural networks; Optimal control; Signals; State estimation; Statistical estimation; adaptive  – approximate  – control  – dynamic  – learning  – neural  – nonlinear  – optimal  – reinforcement

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APA (6th Edition):

Bhasin,Shubhendu. (2011). Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Bhasin,Shubhendu. “Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems.” 2011. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042825.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Bhasin,Shubhendu. Reinforcement Learning and Optimal Control Methods for Uncertain Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042825

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

10. Song, Yang. Dynamic Resource Allocation and Optimization in Wireless Networks.

Degree: PhD, Electrical and Computer Engineering, 2010, University of Florida

 Due to the hostile wireless medium and the limited resources in wireless networks, how well wireless networks can perform and how to make wireless networks… (more)

Subjects/Keywords: Algorithms; Energy consumption; Engineering; Multimedia materials; Nash equilibrium; Scheduling; Sensors; Traffic delay; Trajectories; Utility functions; control, learning, optimization, pricing, routing, schedulinig

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APA (6th Edition):

Song, Y. (2010). Dynamic Resource Allocation and Optimization in Wireless Networks. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0041955

Chicago Manual of Style (16th Edition):

Song, Yang. “Dynamic Resource Allocation and Optimization in Wireless Networks.” 2010. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0041955.

MLA Handbook (7th Edition):

Song, Yang. “Dynamic Resource Allocation and Optimization in Wireless Networks.” 2010. Web. 27 Feb 2020.

Vancouver:

Song Y. Dynamic Resource Allocation and Optimization in Wireless Networks. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0041955.

Council of Science Editors:

Song Y. Dynamic Resource Allocation and Optimization in Wireless Networks. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0041955


University of Florida

11. Dani,Ashwin P. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Recent advances in image-based information estimation has enabled the use of vision sensor in many robotics and surveillance applications. The work in this dissertation, is… (more)

Subjects/Keywords: Angular velocity; Coordinate systems; Kinetics; Point estimators; Simulations; State estimation; Statistical estimation; Sufficient conditions; Systems design; Velocity; control  – estimation  – motion  – nonlinear  – slam  – structure  – vision

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APA (6th Edition):

P, D. (2011). Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042842

Chicago Manual of Style (16th Edition):

P, Dani,Ashwin. “Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042842.

MLA Handbook (7th Edition):

P, Dani,Ashwin. “Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision.” 2011. Web. 27 Feb 2020.

Vancouver:

P D. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042842.

Council of Science Editors:

P D. Lyapunov-based Nonlinear Estimation Methods with Applications to Machine Vision. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042842


University of Florida

12. Fuchs, Zachariah E. Cooperative Control Strategies and Deception in Adversarial Systems.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 The protection of vulnerable, high-value assets has been a challenge throughout history. These high-value targets may be fixed, mobile, or in the cloud. In any… (more)

Subjects/Keywords: Adjoints; Cost functions; Differential games; Game theory; Linear programming; Mathematical variables; Optimal control; Sensors; Sine function; Trajectories; control  – cooperative  – deception  – game

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APA (6th Edition):

Fuchs, Z. E. (2012). Cooperative Control Strategies and Deception in Adversarial Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044608

Chicago Manual of Style (16th Edition):

Fuchs, Zachariah E. “Cooperative Control Strategies and Deception in Adversarial Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044608.

MLA Handbook (7th Edition):

Fuchs, Zachariah E. “Cooperative Control Strategies and Deception in Adversarial Systems.” 2012. Web. 27 Feb 2020.

Vancouver:

Fuchs ZE. Cooperative Control Strategies and Deception in Adversarial Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044608.

Council of Science Editors:

Fuchs ZE. Cooperative Control Strategies and Deception in Adversarial Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044608


University of Florida

13. Kumanchik, Lee. Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2010, University of Florida

 The atomic force microscope (AFM) is the instrument of choice for measuring nano- to micro-Newton forces (10^-9 to 10^-6 Newtons). However, calibration is required for… (more)

Subjects/Keywords: Average linear density; Bending; Calibration; Cantilevers; Imaging; Microscopes; Silicon; Stiffness; Structural deflection; Torque; afm, atomic, cantilever, deformation, force, interferometry, light, metrology, microscope, netwon, realization, scanning, standards, stiffness, white

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APA (6th Edition):

Kumanchik, L. (2010). Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042140

Chicago Manual of Style (16th Edition):

Kumanchik, Lee. “Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector.” 2010. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042140.

MLA Handbook (7th Edition):

Kumanchik, Lee. “Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector.” 2010. Web. 27 Feb 2020.

Vancouver:

Kumanchik L. Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042140.

Council of Science Editors:

Kumanchik L. Three-dimensional measurement of atomic force microscope cantilever deformation to determine the three-dimensional applied force vector. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042140


University of Florida

14. Johnson,Marcus A. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2011, University of Florida

 Game theory methods have been instrumental in the advancement of various disciplines such as social science, economics, biology, and engineering. The focus of this dissertation… (more)

Subjects/Keywords: Approximation; Cost functions; Dynamic games; Game theory; Governing laws clause; Identifiers; Nash equilibrium; Neural networks; Optimal control; Zero sum game; euler  – games  – lagrange  – lyapunov  – noncooperative  – nonlinear  – optimal

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APA (6th Edition):

A, J. (2011). Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043258

Chicago Manual of Style (16th Edition):

A, Johnson,Marcus. “Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0043258.

MLA Handbook (7th Edition):

A, Johnson,Marcus. “Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems.” 2011. Web. 27 Feb 2020.

Vancouver:

A J. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0043258.

Council of Science Editors:

A J. Differential Game-Based Control Methods for Uncertain Continuous-Time Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043258


University of Florida

15. Fischer, Nic. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 Time delays and actuator saturation are two phenomena which affect the performance of dynamic systems under closed-loop control. Effective compensation mechanisms can be applied to… (more)

Subjects/Keywords: Delay lines; Design analysis; Developmental delay; Differential equations; Feedback control; Propagation delay; Signals; Sufficient conditions; Systems design; Trajectories; control  – nonlinear  – time-delays

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APA (6th Edition):

Fischer, N. (2012). Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044857

Chicago Manual of Style (16th Edition):

Fischer, Nic. “Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044857.

MLA Handbook (7th Edition):

Fischer, Nic. “Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems.” 2012. Web. 27 Feb 2020.

Vancouver:

Fischer N. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044857.

Council of Science Editors:

Fischer N. Lyapunov-Based Control of Saturated and Time-Delayed Nonlinear Systems. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044857


University of Florida

16. Hao, He. Distributed Control of Multi-agent Systems Performance Scaling with Network Size.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2012, University of Florida

 The goal of distributed control of multi-agent systems (MASs) is to achieve a global control objective while using only locally available information. Each agent computes… (more)

Subjects/Keywords: Approximation; Asymmetry; Boundary conditions; Conceptual lattices; Eigenvalues; Mathematical robustness; Modeling; Power laws; Trajectories; Velocity; asymmetricdesign  – convergencerate  – distributedcontrol  – multiagentsystems  – performancescaling  – robustness

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APA (6th Edition):

Hao, H. (2012). Distributed Control of Multi-agent Systems Performance Scaling with Network Size. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044859

Chicago Manual of Style (16th Edition):

Hao, He. “Distributed Control of Multi-agent Systems Performance Scaling with Network Size.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044859.

MLA Handbook (7th Edition):

Hao, He. “Distributed Control of Multi-agent Systems Performance Scaling with Network Size.” 2012. Web. 27 Feb 2020.

Vancouver:

Hao H. Distributed Control of Multi-agent Systems Performance Scaling with Network Size. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044859.

Council of Science Editors:

Hao H. Distributed Control of Multi-agent Systems Performance Scaling with Network Size. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044859


University of Florida

17. Bhat, Sanketh. Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance.

Degree: PhD, Aerospace Engineering - Mechanical and Aerospace Engineering, 2010, University of Florida

 Traditionally, the design of structural systems and vehicles has focused first on the design of the structure and then the control and other aspects are… (more)

Subjects/Keywords: Design analysis; Design optimization; Distance functions; Elevators; Hypersonic aircraft; Kriging; Mathematical variables; Systems design; Vibration; Weighting functions; control, hypersonic, linear, surrogate

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APA (6th Edition):

Bhat, S. (2010). Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042357

Chicago Manual of Style (16th Edition):

Bhat, Sanketh. “Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance.” 2010. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042357.

MLA Handbook (7th Edition):

Bhat, Sanketh. “Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance.” 2010. Web. 27 Feb 2020.

Vancouver:

Bhat S. Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042357.

Council of Science Editors:

Bhat S. Control-Oriented Design of Systems with Operating Ranges to Optimize Closed-Loop Performance. [Doctoral Dissertation]. University of Florida; 2010. Available from: http://ufdc.ufl.edu/UFE0042357


University of Florida

18. XU,JING. Autonomic Application and Resource Management in Virtualized Distributed Computing Systems.

Degree: PhD, Electrical and Computer Engineering, 2011, University of Florida

 Large-scale distributed computing systems, such as computational grids and enterprise data centers, present complex management challenges. Such systems experience inherent dynamism due to unpredictable resource… (more)

Subjects/Keywords: Computer memory; Control systems; Deadlines; Information resources; Modeling; Resource demand; Resource management; Resource utilization; Scheduling; Workloads; AUTONOMIC  – CONTROL  – FUZZY  – GRIDS  – MULTIOBJECTIVE  – OPTIMIZATION  – VIRTUALIZATION

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APA (6th Edition):

XU,JING. (2011). Autonomic Application and Resource Management in Virtualized Distributed Computing Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042294

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

XU,JING. “Autonomic Application and Resource Management in Virtualized Distributed Computing Systems.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042294.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

XU,JING. “Autonomic Application and Resource Management in Virtualized Distributed Computing Systems.” 2011. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

XU,JING. Autonomic Application and Resource Management in Virtualized Distributed Computing Systems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042294.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

XU,JING. Autonomic Application and Resource Management in Virtualized Distributed Computing Systems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042294

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

19. Wang, Qiang. Lyapunov-Based Neuromuscular Electrical Stimulation Control.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 Neuromuscular electrical stimulation (NMES) or functional electrical stimulation (FES) is a widely used technique for rehabilitation and restoration of motor function. Millions of people suffering… (more)

Subjects/Keywords: Ankle; Cost control; Cost functions; Electric stimulation therapy; Electrical stimulation; Feedback control; Gait; Muscle contraction; Signals; Trajectories; closed-loop  – control  – electrical  – lyapunov-based  – neuromuscular  – stimulation

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APA (6th Edition):

Wang, Q. (2012). Lyapunov-Based Neuromuscular Electrical Stimulation Control. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044949

Chicago Manual of Style (16th Edition):

Wang, Qiang. “Lyapunov-Based Neuromuscular Electrical Stimulation Control.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044949.

MLA Handbook (7th Edition):

Wang, Qiang. “Lyapunov-Based Neuromuscular Electrical Stimulation Control.” 2012. Web. 27 Feb 2020.

Vancouver:

Wang Q. Lyapunov-Based Neuromuscular Electrical Stimulation Control. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044949.

Council of Science Editors:

Wang Q. Lyapunov-Based Neuromuscular Electrical Stimulation Control. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044949


University of Florida

20. Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.

Degree: PhD, Industrial and Systems Engineering, 2011, University of Florida

 This dissertation investigates models and algorithms for solving a class of two-stage optimization problems arising in a variety of practical problems, including network interdiction applications.… (more)

Subjects/Keywords: Algorithms; Broadcasting industry; Connectivity; Integers; Linear programming; Minimization of cost; Operations research; Optimal solutions; Penalty function; Recursion; algorithms  – decomposition  – domination  – graph  – heuristic  – management  – mathematics  – modelling  – networks  – np  – optimization  – stochastic

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APA (6th Edition):

Shen,Siqian. (2011). Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0043106

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

Shen,Siqian. “Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0043106.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

Shen,Siqian. “Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems.” 2011. Web. 27 Feb 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0043106.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

Shen,Siqian. Reformulation and Cutting-Plane Approaches for Solving Two-Stage Optimization and Network Interdiction Problems. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0043106

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Florida

21. Ding, Zongrui. Stochastic Optimization and its Application to Communication Networks and the Smart Grid.

Degree: PhD, Electrical and Computer Engineering, 2012, University of Florida

 The scheduling of some practical systems is highly affected by the randomness of the system variables. Therefore, it is of great importance to model and optimize… (more)

Subjects/Keywords: Adaptive control; Control theory; Electric power; Electricity; Queueing networks; Renewable energy; Scheduling; Simulations; Topology; Wind power; optimization  – smart  – stochastic

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APA (6th Edition):

Ding, Z. (2012). Stochastic Optimization and its Application to Communication Networks and the Smart Grid. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044527

Chicago Manual of Style (16th Edition):

Ding, Zongrui. “Stochastic Optimization and its Application to Communication Networks and the Smart Grid.” 2012. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044527.

MLA Handbook (7th Edition):

Ding, Zongrui. “Stochastic Optimization and its Application to Communication Networks and the Smart Grid.” 2012. Web. 27 Feb 2020.

Vancouver:

Ding Z. Stochastic Optimization and its Application to Communication Networks and the Smart Grid. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044527.

Council of Science Editors:

Ding Z. Stochastic Optimization and its Application to Communication Networks and the Smart Grid. [Doctoral Dissertation]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044527


University of Florida

22. Goyal, Siddharth. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2013, University of Florida

 In this dissertation, we address the problem of how to improve energy efficiency of buildings while maintaining a comfortable and healthy indoor climate with minimum… (more)

Subjects/Keywords: Dynamic modeling; Energy consumption; Feedback control; Flow velocity; Humidity; Modeling; Simulations; Temperature control; Temperature ratio; Thigh; control  – hvac  – model-reduction  – modeling  – mpc  – optimization  – predictive-control

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APA (6th Edition):

Goyal, S. (2013). Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0045729

Chicago Manual of Style (16th Edition):

Goyal, Siddharth. “Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.” 2013. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0045729.

MLA Handbook (7th Edition):

Goyal, Siddharth. “Modeling and Control Algorithms to Improve Energy Efficiency in Buildings.” 2013. Web. 27 Feb 2020.

Vancouver:

Goyal S. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0045729.

Council of Science Editors:

Goyal S. Modeling and Control Algorithms to Improve Energy Efficiency in Buildings. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0045729


University of Florida

23. Nandan, Manu. Fast SVM Training Using Approximate Extreme Points.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 Support vectors machines (SVMs) are widely applied machine learning algorithms that have many desirable characteristics. However, with the ever increasing size of datasets, it has… (more)

Subjects/Keywords: Algorithms; Approximation; Datasets; Factorization; International conferences; Linear programming; Machine learning; Mathematical vectors; Matrices; Polynomials; approximate  – extreme  – kernels  – svm

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APA (6th Edition):

Nandan, M. (2013). Fast SVM Training Using Approximate Extreme Points. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046147

Chicago Manual of Style (16th Edition):

Nandan, Manu. “Fast SVM Training Using Approximate Extreme Points.” 2013. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0046147.

MLA Handbook (7th Edition):

Nandan, Manu. “Fast SVM Training Using Approximate Extreme Points.” 2013. Web. 27 Feb 2020.

Vancouver:

Nandan M. Fast SVM Training Using Approximate Extreme Points. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0046147.

Council of Science Editors:

Nandan M. Fast SVM Training Using Approximate Extreme Points. [Doctoral Dissertation]. University of Florida; 2013. Available from: http://ufdc.ufl.edu/UFE0046147


University of Florida

24. Patre, Parag. Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure.

Degree: PhD, Mechanical Engineering - Mechanical and Aerospace Engineering, 2009, University of Florida

 The focus of this research is an examination of the interplay between different intelligent feedforward mechanisms with a recently developed continuous robust feedback mechanism, coined… (more)

Subjects/Keywords: Adaptive control; Error rates; Feedback control; Governing laws clause; Human error; Matrices; Neural networks; Sufficient conditions; Torque; Trajectories; adaptive, composite, control, disturbances, networks, neural, nonlinear, rise, robust, uncertain

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APA (6th Edition):

Patre, P. (2009). Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0024807

Chicago Manual of Style (16th Edition):

Patre, Parag. “Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure.” 2009. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0024807.

MLA Handbook (7th Edition):

Patre, Parag. “Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure.” 2009. Web. 27 Feb 2020.

Vancouver:

Patre P. Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0024807.

Council of Science Editors:

Patre P. Lyapunov-Based Robust and Adaptive Control of Nonlinear Systems Using a Novel Feedback Structure. [Doctoral Dissertation]. University of Florida; 2009. Available from: http://ufdc.ufl.edu/UFE0024807


University of Florida

25. Katti, Anurag R. Sensitivity Based Volt/Var Control and Loss Optimization.

Degree: MS, Electrical and Computer Engineering, 2012, University of Florida

The objective of this study is to control voltage at different points in a distribution Advisors/Committee Members: Khargonekar, Pramod (committee chair), Barooah, Prabir (committee member), Hammer, Jacob (committee member).

Subjects/Keywords: Algorithms; Electric current; Electric potential; Electric power; Electric substations; Jacobians; Line current; Power lines; Power loss; Voltage regulators; control  – distributed  – generation  – loss  – optimization  – penetration  – pso  – siting  – sizing  – voltage

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APA (6th Edition):

Katti, A. R. (2012). Sensitivity Based Volt/Var Control and Loss Optimization. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0044302

Chicago Manual of Style (16th Edition):

Katti, Anurag R. “Sensitivity Based Volt/Var Control and Loss Optimization.” 2012. Masters Thesis, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0044302.

MLA Handbook (7th Edition):

Katti, Anurag R. “Sensitivity Based Volt/Var Control and Loss Optimization.” 2012. Web. 27 Feb 2020.

Vancouver:

Katti AR. Sensitivity Based Volt/Var Control and Loss Optimization. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0044302.

Council of Science Editors:

Katti AR. Sensitivity Based Volt/Var Control and Loss Optimization. [Masters Thesis]. University of Florida; 2012. Available from: http://ufdc.ufl.edu/UFE0044302


University of Florida

26. Yue, Hao. Protocol Design and Optimization for Future Wireless Systems.

Degree: PhD, Electrical and Computer Engineering, 2015, University of Florida

Subjects/Keywords: networks; optimization; protocol; wireless

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APA (6th Edition):

Yue, H. (2015). Protocol Design and Optimization for Future Wireless Systems. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0046983

Chicago Manual of Style (16th Edition):

Yue, Hao. “Protocol Design and Optimization for Future Wireless Systems.” 2015. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0046983.

MLA Handbook (7th Edition):

Yue, Hao. “Protocol Design and Optimization for Future Wireless Systems.” 2015. Web. 27 Feb 2020.

Vancouver:

Yue H. Protocol Design and Optimization for Future Wireless Systems. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0046983.

Council of Science Editors:

Yue H. Protocol Design and Optimization for Future Wireless Systems. [Doctoral Dissertation]. University of Florida; 2015. Available from: http://ufdc.ufl.edu/UFE0046983


University of Florida

27. MYERS,STEPHEN M. Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate.

Degree: PhD, Biomedical Engineering, 2011, University of Florida

Subjects/Keywords: Animal models; Animals; Electrodes; Electroencephalography; Epilepsy; Rats; Recordings; Seizures; Signals; Status epilepticus; ELECTROENCEPHALOGRAPHY  – EPILEPSY  – MODELS  – MONITORING  – SEIZURE  – TEMPORAL

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APA (6th Edition):

M, M. (2011). Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0042553

Chicago Manual of Style (16th Edition):

M, MYERS,STEPHEN. “Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate.” 2011. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0042553.

MLA Handbook (7th Edition):

M, MYERS,STEPHEN. “Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate.” 2011. Web. 27 Feb 2020.

Vancouver:

M M. Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0042553.

Council of Science Editors:

M M. Platform Development for the Modulation of Epileptic Seizure Base on Interictal Spike Rate. [Doctoral Dissertation]. University of Florida; 2011. Available from: http://ufdc.ufl.edu/UFE0042553


University of Florida

28. Chakraborty, Debraj. Need-Based Feedback An Optimization Approach.

Degree: PhD, Electrical and Computer Engineering, 2007, University of Florida

 Feedback is often used to overcome the adverse effects of perturbations and uncertainties on the performance of engineering systems. However, failures of the feedback channel… (more)

Subjects/Keywords: Control loops; Differential games; Eigenvalues; Hilbert spaces; Mathematics; Necessary conditions; Optimal solutions; Signals; Topological theorems; Trajectories; bangbang, control, differential, game, loop, minmax, open, optimal, robust

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APA (6th Edition):

Chakraborty, D. (2007). Need-Based Feedback An Optimization Approach. (Doctoral Dissertation). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0021236

Chicago Manual of Style (16th Edition):

Chakraborty, Debraj. “Need-Based Feedback An Optimization Approach.” 2007. Doctoral Dissertation, University of Florida. Accessed February 27, 2020. http://ufdc.ufl.edu/UFE0021236.

MLA Handbook (7th Edition):

Chakraborty, Debraj. “Need-Based Feedback An Optimization Approach.” 2007. Web. 27 Feb 2020.

Vancouver:

Chakraborty D. Need-Based Feedback An Optimization Approach. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2020 Feb 27]. Available from: http://ufdc.ufl.edu/UFE0021236.

Council of Science Editors:

Chakraborty D. Need-Based Feedback An Optimization Approach. [Doctoral Dissertation]. University of Florida; 2007. Available from: http://ufdc.ufl.edu/UFE0021236

.