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Practical adaptive control: Theory a...

Zhang, Jianlong.

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Practical adaptive control: Theory and applications.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Practical adaptive control: Theory and applications./
Author:	Zhang, Jianlong.
Description:	220 p.
Notes:	Adviser: Petros A. Ioannou.
Contained By:	Dissertation Abstracts International67-10B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3237119
ISBN:	9780542909214

Practical adaptive control: Theory and applications.
Zhang, Jianlong.

Practical adaptive control: Theory and applications. - 220 p.

Adviser: Petros A. Ioannou.

Thesis (Ph.D.)--University of Southern California, 2006.

An adaptive controller can be viewed as a combination of a control designed in the case of known parameters with an adaptive strategy accounting for the unknown parameters. It can be classified as identifier or non-identifier based, depending on the property of the adaptive strategy. In the past fifty years, adaptive control theory has reached a high level of maturity. However, its applications in safety sensitive systems are limited. Identifier based adaptive controllers can track plant changes and adjust the control parameters to counteract them. However, the conflict between parameter estimation and control may lead to poor transients during the learning process. Their nonlinear nature makes it difficult to check stability and performance bounds as done in the linear time invariant case. As a result in applications where safety is at stake practitioners are reluctant to close the loop with an identifier based adaptive controller. On the other hand, robust non-adaptive controllers can be designed to have acceptable transient behavior but may not be able to deal with unpredictable changes in the plant dynamics. In an effort to resolve this issue a bank of robust controllers is designed to cover the possible parametric uncertainty together with a switching logic searching the appropriate controller on line. These controllers, referred to as non-identifier based, are designed with the assumption that the pre-chosen controller bank contains at least one stabilizing controller. They may not guarantee good transients and it is not straightforward how to design the bank of controllers to cover the possible parametric uncertainty.

ISBN: 9780542909214Subjects--Topical Terms:

769149
Artificial Intelligence.

Practical adaptive control: Theory and applications.
LDR:03244nam 2200289 a 45 001 974507
005 20110929
008 110929s2006 eng d
020 $a 9780542909214
035 $a (UnM)AAI3237119
035 $a AAI3237119
040 $a UnM $c UnM
100 1 $a Zhang, Jianlong. $3 1298434
245 1 0 $a Practical adaptive control: Theory and applications.
300 $a 220 p.
500 $a Adviser: Petros A. Ioannou.
500 $a Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5978.
502 $a Thesis (Ph.D.)--University of Southern California, 2006.
520 $a An adaptive controller can be viewed as a combination of a control designed in the case of known parameters with an adaptive strategy accounting for the unknown parameters. It can be classified as identifier or non-identifier based, depending on the property of the adaptive strategy. In the past fifty years, adaptive control theory has reached a high level of maturity. However, its applications in safety sensitive systems are limited. Identifier based adaptive controllers can track plant changes and adjust the control parameters to counteract them. However, the conflict between parameter estimation and control may lead to poor transients during the learning process. Their nonlinear nature makes it difficult to check stability and performance bounds as done in the linear time invariant case. As a result in applications where safety is at stake practitioners are reluctant to close the loop with an identifier based adaptive controller. On the other hand, robust non-adaptive controllers can be designed to have acceptable transient behavior but may not be able to deal with unpredictable changes in the plant dynamics. In an effort to resolve this issue a bank of robust controllers is designed to cover the possible parametric uncertainty together with a switching logic searching the appropriate controller on line. These controllers, referred to as non-identifier based, are designed with the assumption that the pre-chosen controller bank contains at least one stabilizing controller. They may not guarantee good transients and it is not straightforward how to design the bank of controllers to cover the possible parametric uncertainty.
520 $a The objective of this dissertation is to develop robust adaptive control algorithms that can be implemented safely to achieve desired performance. As we show in the model reference control case, by combining identifier and non-identifier based adaptive schemes, the resulting scheme, referred to as safe adaptive control, is superior in performance and robustness than existing ones. In addition, we investigate the applications of conventional robust adaptive controllers in intelligent transportation systems. With theoretical analysis, simulations and actual implementation, we show that robust adaptive controllers can be implemented safely and achieve desired performance in real time applications.
590 $a School code: 0208.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
690 $a 0800
710 2 0 $a University of Southern California. $3 700129
773 0 $t Dissertation Abstracts International $g 67-10B.
790 $a 0208
790 1 0 $a Ioannou, Petros A., $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3237119