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Practical adaptive control: Theory a...

University of Southern California.

Practical adaptive control: Theory and applications.

紀錄類型:	書目-電子資源 : 單行本
正題名/作者:	Practical adaptive control: Theory and applications./
作者:	Zhang, Jianlong.
面頁冊數:	220 p.
附註:	Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5978.
Contained By:	Dissertation Abstracts International67-10B.
標題:	Engineering, Electronics and Electrical. -
電子資源:	Download PDF (下載PDF全文)
ISBN:	9780542909214

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

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

Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5978.

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:

170927
Engineering, Electronics and Electrical.

Practical adaptive control: Theory and applications.
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500 $a Source: Dissertation Abstracts International, Volume: 67-10, Section: B, page: 5978.
500 $a Adviser: Petros A. Ioannou.
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.
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