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Safe switching adaptive control: St...
~
Stefanovic, Margareta.
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Safe switching adaptive control: Stability and convergence.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Safe switching adaptive control: Stability and convergence./
Author:
Stefanovic, Margareta.
Description:
84 p.
Notes:
Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6181.
Contained By:
Dissertation Abstracts International66-11B.
Subject:
Engineering, Electronics and Electrical. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196897
ISBN:
9780542427701
Safe switching adaptive control: Stability and convergence.
Stefanovic, Margareta.
Safe switching adaptive control: Stability and convergence.
- 84 p.
Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6181.
Thesis (Ph.D.)--University of Southern California, 2005.
This thesis is concerned with the control of highly uncertain systems. A formal theoretical explanation of the model-mismatch instability problem often associated with adaptive control design schemes is proposed, and a generic solution is provided. A primary task of adaptive control is formulated as finding an asymptotically optimal, stabilizing controller, given the feasibility of adaptive control problem. Feasibility is defined as the existence of a stabilizing solution in a continuously parametrized candidate controller set. The multi-faceted adaptive control problem is thus placed in a setting of a standard optimization problem. The proposed solution, called safe adaptive control, robustly achieves this goal without any assumptions other than feasibility. Specifically, a list of the required plant independent properties of the cost function is formulated. The result extends previous theoretical results in multiple model adaptive control, and provides a significant generalization by allowing the class of candidate controllers to have arbitrary cardinality, structure or dimensionality, and by strengthening the concept of tunability. The problem is motivated by a model-mismatch stability failure associated with a multitude of adaptive control schemes, exemplified by several simulation results.
ISBN: 9780542427701Subjects--Topical Terms:
626636
Engineering, Electronics and Electrical.
Safe switching adaptive control: Stability and convergence.
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Safe switching adaptive control: Stability and convergence.
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84 p.
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Source: Dissertation Abstracts International, Volume: 66-11, Section: B, page: 6181.
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Adviser: Michael G. Safonov.
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Thesis (Ph.D.)--University of Southern California, 2005.
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This thesis is concerned with the control of highly uncertain systems. A formal theoretical explanation of the model-mismatch instability problem often associated with adaptive control design schemes is proposed, and a generic solution is provided. A primary task of adaptive control is formulated as finding an asymptotically optimal, stabilizing controller, given the feasibility of adaptive control problem. Feasibility is defined as the existence of a stabilizing solution in a continuously parametrized candidate controller set. The multi-faceted adaptive control problem is thus placed in a setting of a standard optimization problem. The proposed solution, called safe adaptive control, robustly achieves this goal without any assumptions other than feasibility. Specifically, a list of the required plant independent properties of the cost function is formulated. The result extends previous theoretical results in multiple model adaptive control, and provides a significant generalization by allowing the class of candidate controllers to have arbitrary cardinality, structure or dimensionality, and by strengthening the concept of tunability. The problem is motivated by a model-mismatch stability failure associated with a multitude of adaptive control schemes, exemplified by several simulation results.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3196897
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