DocumentCode
1265235
Title
Adaptive internal model control: H∞ optimization for stable plants
Author
Datta, Aniruddha ; Xing, Lei
Author_Institution
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Volume
44
Issue
11
fYear
1999
fDate
11/1/1999 12:00:00 AM
Firstpage
2130
Lastpage
2134
Abstract
This paper considers the design of a robust adaptive H∞ optimal controller based on the IMC structure. Specific attention is focused on the practically important class of stable plants with one open right half-plane zero. The certainty equivalence principle of adaptive control is used to combine a robust adaptive law with a robust H∞ internal model controller to obtain an adaptive H ∞ internal model control scheme with provable guarantees of stability and robustness. The approach used earlier for designing and analyzing adaptive H2 optimal control schemes is seen to carry over in a natural fashion to the adaptive H∞ optimal control case. This attests to the generality of that approach, which not only provides a theoretical basis for analytically justifying some of the reported industrial successes of existing adaptive internal model control schemes, but also opens up the possibility of synthesizing new ones by simply combining a robust adaptive law with a robust internal model controller structure
Keywords
H∞ control; control system synthesis; model reference adaptive control systems; robust control; H∞ optimization; IMC structure; adaptive H2 optimal control; adaptive internal model control; certainty equivalence principle; open right half-plane zero; robust adaptive H∞ optimal controller design; stable plants; Adaptive control; Cost function; Noise measurement; Optimal control; Output feedback; Polynomials; Programmable control; Regulators; Robust control; Robust stability;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.802930
Filename
802930
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