Decentralized adaptive tracking of stochastic nonlinear interconnected systems by state feedback

Authors:
Huijin Fan
Affiliations:
The Key Laboratory of Image Processing and Intelligent Control, Dept. Control Science and Engineering, Huazhong University of Science and Technology, P.R.China
Venue:
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Year:
2009

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Abstract

This paper studies the tracking problem for a class of stochastic nonlinear interconnected systems with unknown parameters involved. By employing the stochastic Lyapunov-like theorem and the backstepping design technique, a decentralized state-feedback controller and parameter adaptive law are developed. The output of the closed-loop system is proven to follow the desired trajectory asymptotically in probability.