DocumentCode
1396140
Title
Obtaining robust stability operationally
Author
Maccluer, C.R. ; Chait, Yossi
Author_Institution
Dept. of Math., Michigan State Univ., East Lansing, MI, USA
Volume
35
Issue
12
fYear
1990
fDate
12/1/1990 12:00:00 AM
Firstpage
1350
Lastpage
1351
Abstract
Robust stabilization is studied within the context of time-domain feedback control of single-input-single-output distributed parameter systems using approximate models. Using the operational methods of Mikusinski (1983), one can easily obtain strong versions of several famous theorems on robust stabilization. The operational methods of Mikusinski can play a powerful role in control theory. Using these methods, one is able to avoid the technical difficulties of convergence, existence, inversion, etc. associated with the Laplace transform. Unlike similar estimates obtained via the contraction mapping and small gain theorems, one is able to obtain robust stabilization free of restrictions on the size of certain error operators
Keywords
distributed parameter systems; feedback; stability; time-domain analysis; Mikusinski; SISO systems; distributed parameter systems; feedback; stability; stabilization; time-domain; Context modeling; Control theory; Convergence; Distributed parameter systems; Feedback control; Power system modeling; Robust control; Robust stability; Robustness; Time domain analysis;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.61013
Filename
61013
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