Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/69229
Title: Adaptive state feedback control for a class of stochastic nonlinear systems
Authors: Fan, H.
Ge, S.S. 
Issue Date: 2004
Source: Fan, H.,Ge, S.S. (2004). Adaptive state feedback control for a class of stochastic nonlinear systems. Proceedings of the IEEE Conference on Decision and Control 3 : 2996-3000. ScholarBank@NUS Repository.
Abstract: In this paper, tracking problem is studied for a class of stochastic nonlinear systems, which is in strict-feedback form and with unknown parametric nonlinearities. Under the condition of all system states being available for feedback, by employing the stochastic Lyapunov-like theorem and the backstepping design technique, an adaptive state feedback control is developed. The output of the closed-loop system is proven to follow the desired trajectory asymptotically in probability.
Source Title: Proceedings of the IEEE Conference on Decision and Control
URI: http://scholarbank.nus.edu.sg/handle/10635/69229
ISSN: 01912216
Appears in Collections:Staff Publications

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