DocumentCode
826102
Title
l∞-bounded robustness for nonlinear systems: analysis and synthesis
Author
Huang, Shoudong ; James, Matthew R.
Author_Institution
Dept. of Eng., Australian Nat. Univ., Canberra, ACT, Australia
Volume
48
Issue
11
fYear
2003
Firstpage
1875
Lastpage
1891
Abstract
The purpose of this paper is to describe systematic analysis and design tools for robust control problems with l∞ criteria. We first generalize the Hill-Moylan-Willems framework for dissipative systems to accommodate l∞ criteria, and then derive state feedback and measurement feedback synthesis procedures for l∞ robust control problems. The information state framework is used for the measurement feedback robust control problem. Necessary and sufficient conditions are proved, and new synthesis procedures using dynamic programming are presented.
Keywords
control system analysis; control system synthesis; dynamic programming; nonlinear control systems; optimal control; robust control; state feedback; Hill-Moylan-Willems framework; design tools; dissipative systems; dynamic programming; information state framework; l∞-bounded robustness; measurement feedback synthesis procedures; necessary sufficient conditions; nonlinear systems; optimal control; robust control problems; state feedback; systematic analysis tools; Control system synthesis; Dynamic programming; Force control; Integral equations; Linear systems; Nonlinear systems; Optimal control; Robust control; Robustness; State feedback;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2003.819072
Filename
1245178
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