DocumentCode :
3011323
Title :
Observers for nonlinear stochastic systems
Author :
Tarn, T.J. ; Yona Rasis
Author_Institution :
Washington University, St. Louis, Missouri
fYear :
1975
fDate :
10-12 Dec. 1975
Firstpage :
780
Lastpage :
788
Abstract :
Motivated by the complexity and the large quantity of on-line operations required for nonlinear filtering problems, observers for nonlinear stochastic systems are constructed based on a Liapunov-like method. Sufficient conditions on the structure of a nonlinear stochastic system for the existence of an exponentially bounded observer are given. These conditions can be applied off-line. The stabilization of unstable nonlinear stochastic systems using observer feedback are investigated. Sufficient conditions to stabilize cascaded control and observer in a feedback arrangement are given.
Keywords :
Approximation algorithms; Control theory; Feedback control; Filtering; Kalman filters; Least squares approximation; Linear systems; Mathematics; Noise measurement; Stochastic systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 14th Symposium on Adaptive Processes, 1975 IEEE Conference on
Conference_Location :
Houston, TX, USA
Type :
conf
DOI :
10.1109/CDC.1975.270610
Filename :
4045527
Link To Document :
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