subject:(Sampled Data Filtering)

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University of Newcastle

1. Cea Garrido, Mauricio Esteban. Sampling and quantization in nonlinear filtering and control.

Degree: 2012, University of Newcastle

URL: http://hdl.handle.net/1959.13/935346

Research Doctorate - Doctor of Philosophy

The thesis describes contributions made in two areas, namely, aspects of nonlinear filtering and control over communication channels. Specifically, the thesis is concerned with addressing the impact of temporal and spatial quantization on the performance of estimation and control algorithms. Regarding nonlinear filtering, emphasis is placed on technical and theoretical issues regarding the impact of sampling and spatial quantization. New techniques of upsampling and downsampling are developed to address specific computational issues. Also, extensions to Lebesgue sampling are explored. In addition, a new class of nonlinear filtering algorithms, called Minimum Distortion Filters, is developed based on the use of Vector Quantization. The effectiveness of the new filtering algorithms are illustrated, by using it on a wide variety of problems including system identification, state estimation for chemical processes and radar tracking. Regarding control over communication channels, the focus is primarily on the practical problem of inner loop power control in broadband WCDMA. This control loop is characterized by the use of a one-bit-per-sample control law. This restriction severely limits the achievable performance. To address the problem, a novel adaptive quantizer is developed in the thesis. The scheme is shown to lead to significant performance improvements. The scheme has also been extended and applied to the problem of stabilizing an open loop unstable system over a bit rate constrained channel. Other control problems in WCDMA are also explored including the use of the "Happy Bit" to signal buffer sizes for the purposes of scheduling. This control loop is also subject to a one-bit-per-sample constraint. Typically, the one bit is used for a different purpose in current implementations. Here we develop an adaptive scheme based on the Happy Bit for communicating the buffer size.

Advisors/Committee Members: University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science.

Subjects/Keywords: nonlinear filtering; quantization; sampled data; nonlinear MPC; WCDMA; networked control; constrained bit rate

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APA (6^th Edition):

Cea Garrido, M. E. (2012). Sampling and quantization in nonlinear filtering and control. (Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/935346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cea Garrido, Mauricio Esteban. “Sampling and quantization in nonlinear filtering and control.” 2012. Thesis, University of Newcastle. Accessed March 04, 2021. http://hdl.handle.net/1959.13/935346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cea Garrido, Mauricio Esteban. “Sampling and quantization in nonlinear filtering and control.” 2012. Web. 04 Mar 2021.

Vancouver:

Cea Garrido ME. Sampling and quantization in nonlinear filtering and control. [Internet] [Thesis]. University of Newcastle; 2012. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/1959.13/935346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cea Garrido ME. Sampling and quantization in nonlinear filtering and control. [Thesis]. University of Newcastle; 2012. Available from: http://hdl.handle.net/1959.13/935346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Houston

2. Ramezanifar, Amin 1981-. Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay.

Degree: PhD, Mechanical Engineering, 2013, University of Houston

URL: http://hdl.handle.net/10657/1381

In this dissertation we address a variety of problems in filtering and control of dynamic systems with emphasis on their digital implementation. We focus on linear parameter varying (LPV) systems which have been widely utilized in engineering applications. LPV systems include a class of linear systems whose dynamic depends on time-varying parameters. These systems have resulted in significant improvements in the study of time-varying and nonlinear systems. In a filtering problem, we aim to estimate the states of a dynamic system by utilizing the output measurement of the system. Applications of filters abound in practical and theoretical problems. In a control problem, the objective is to design a controller to ensure the closed-loop system stability and often to satisfy a prescribed level of performance. A main concern in the present study is the implementation of the controller or filter which is often fulfilled by means of a digital device operating in the discrete time domain. Due to the combination of the system continuous-time dynamics and the controller or filter discrete dynamics connected through analog to digital and digital to analog converter devices, the closed-loop system is a hybrid one and is difficult to analyze mathematically. The incorporation of continuous-time and discrete-time signals in a system is often referred to as sampled-data system. A particular difficulty in sampled-data systems is to ensure that the digital controller (filter) meets the design specifications in between the samples. In this dissertation, we develop new methods to take into account this requirement. Two chapters of this dissertation are devoted to the design of filters for LPV systems. First, we design a continuous-time filter for a continuous-time state-delayed LPV system whose dynamics includes a time varying delay. Next, we address the sampled-data filter design problem for continuous-time LPV systems. In the second part of this dissertation, we investigate the control problem of LPV systems in the framework of sampled-data design. First we present a new approach for the sampled-data control of continuous-time LPV systems. Next, we extend the established results for LPV systems with internal delay. Advisors/Committee Members: Grigoriadis, Karolos M. (advisor), Franchek, Matthew A. (committee member), Song, Gangbing (committee member), Nikolaou, Michael (committee member), Rao, Jagannatha R. (committee member), Provence, Robert S. (committee member).

Subjects/Keywords: Linear parameter varying (LPV) systems; Sampled-Data Filtering; Sampled-Data Control; Stability Analysis; Time Delay

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ramezanifar, A. 1. (2013). Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1381

Chicago Manual of Style (16^th Edition):

Ramezanifar, Amin 1981-. “Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay.” 2013. Doctoral Dissertation, University of Houston. Accessed March 04, 2021. http://hdl.handle.net/10657/1381.

MLA Handbook (7^th Edition):

Ramezanifar, Amin 1981-. “Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay.” 2013. Web. 04 Mar 2021.

Vancouver:

Ramezanifar A1. Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2021 Mar 04]. Available from: http://hdl.handle.net/10657/1381.

Council of Science Editors:

Ramezanifar A1. Sampled-Data Filtering and Control of Linear Parameter Varying Systems with Delay. [Doctoral Dissertation]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/1381

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