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Permanent link (DOI): https://doi.org/10.7939/R3ND65

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Robust Filter Design in Networked Control Systems Open Access

Descriptions

Other title
Subject/Keyword
Quantization
Filter Design
Networked Control Systems
Fault-Tolerant Filtering
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Allahverdi Charandabi, Behnam
Supervisor and department
Horacio J. Marquez (ECE)
Examining committee member and department
Venkata Dinavahi (ECE)
Mahdi Tavakoli (ECE)
Qing Zhao (ECE)
Aryan S. Mehr (University of Saskatchewan)
Department
Department of Electrical and Computer Engineering
Specialization
Control Systems
Date accepted
2014-07-02T09:55:33Z
Graduation date
2014-11
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
In this thesis, we study the problem of robust filtering under network-induced errors. Our intention is to design a robust filter that provides stable estimates of the plant states when the plant model is uncertain, the states are disturbed with an unknown input, and the measurements are quantized and therefore erroneous. To this end, we tackle the problem by first studying the various problems caused by the network and their effects on the filtering process when there are no model uncertainties and unknown inputs. Since our final design needs to be robust to unknown disturbances, we will propose two novel unknown-input linear filters, which are free of some of the restrictive assumptions seen in the literature. Both of these filters are based on a modified plant model, however, one of them has more design parameters and comes with a heavier computational burden than the other, but in return it generates slightly smoother estimates of both the states and the unknown input. Having two distinct classes of filters, one with the ability to estimate the network-induced errors and one capable of estimating and rejecting unknown disturbances, we next propose a two-zone robust filter, which estimates the states with limited information and under unknown disturbances. The two-zone idea is based on the fact that the error caused by a linear quantizer is significant only when the estimates are close to their real values. Taking advantage of this fact, the estimation space can be divided into two operating zones based on the reliability of the received information. Finally, the two-zone filter is adapted for a fault-tolerant filtering application where the measurements are assumed to undergo coarse quantization, and unknown disturbances and model uncertainties are employed to model various fault scenarios.
Language
English
DOI
doi:10.7939/R3ND65
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
Citation for previous publication
Charandabi, B.A., Marquez, H.J. "H_oo Filtering of Nonlinear Plants over Networks" accepted to be published in the International Journal of Robust and Nonlinear Control, 2013Charandabi, B.A., Marquez, H.J. "A Novel Approach to Unknown Input Filter Design for Discrete-Time Linear Systems" accepted to be published in Automatica, 2014

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