DocumentCode :
71498
Title :
Observer-Based Feedback Controller Design for a Class of Stochastic Systems With Non-Gaussian Variables
Author :
Yunlong Liu ; Hong Wang ; Lei Guo
Author_Institution :
Sch. of Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China
Volume :
60
Issue :
5
fYear :
2015
fDate :
May-15
Firstpage :
1445
Lastpage :
1450
Abstract :
In this note, the observer-based feedback control problem is investigated for a class of non-Gaussian stochastic systems. The proposed control strategy is the optimal control under a performance function measuring a sort of entropy of the state deviation. Sufficient conditions under which the closed-loop system is locally and ultimately bounded in the mean-square sense are presented. Simulation results demonstrate the effectiveness of the proposed design method.
Keywords :
closed loop systems; control system synthesis; feedback; least mean squares methods; observers; optimal control; stochastic systems; closed-loop system; nonGaussian variables; observer-based feedback controller design; optimal control; stochastic system; Entropy; Estimation error; Noise; Observers; Probability density function; Random variables; Vectors; Entropy; information potential; non-Gaussian variables; probability density function; stochastic distribution control;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2014.2358411
Filename :
6899619
Link To Document :
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