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
Link To Document :
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