DocumentCode :
307238
Title :
Stabilization of partially linear composite stochastic systems in infinite dimension
Author :
Florchinger, Patrick
Author_Institution :
Dept. de Math., Metz Univ., France
Volume :
1
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
648
Abstract :
The purpose of this paper is to investigate the exponential stabilizability in mean square of partially linear composite stochastic partial differential equations. In particular, we derive sufficient conditions under which there exists a linear feedback law which renders the solution of the closed-loop system exponentially stable in mean square
Keywords :
asymptotic stability; closed loop systems; feedback; large-scale systems; linear systems; multidimensional systems; partial differential equations; stochastic processes; stochastic systems; closed-loop system; exponential stabilizability; infinite dimension; linear feedback law; partially linear composite stochastic partial differential equations; partially linear composite stochastic systems; sufficient conditions; Differential equations; Hilbert space; Hydrogen; Ice; Linear feedback control systems; Stability; State feedback; Stochastic processes; Stochastic systems; Sufficient conditions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.574400
Filename :
574400
Link To Document :
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