NDLI: Output-feedback adaptive DSC of stochastic nonlinear systems with time-delays

Content Provider	IEEE Xplore Digital Library
Author	Dong-Juan Li Jing Zhang Yan-Jun Liu Nanhua Luo Yang Cui Lei Liu
Copyright Year	2012
Description	Author affiliation: School of Chemical and Environmental Engineering, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China (Dong-Juan Li) \|\| College of Science, Liaoning University of Technology, Jinzhou, Liaoning, 121001, China (Jing Zhang; Yan-Jun Liu; Yang Cui; Lei Liu) \|\| Department of Energy Source, Changchun Institute of Technology, Changchun, Jilin, 130012, China (Nanhua Luo)
Abstract	The dynamic surface control (DSC) technique can simplify the backstepping design for the control of nonlinear systems by overcoming the problem of “explosion of complexity”. In this paper, we incorporating this design technique into a neural network based adaptive control design framework for a class of nonlinear stochastic systems. The time delays exist in the systems and the neural networks are employed to compensate for all unknown nonlinear terms depending on the delayed output, and our development is able to eliminate the problem of “explosion of complexity” inherent in the existing method.
Starting Page	253
Ending Page	257
File Size	325326
Page Count	5
File Format	PDF
ISBN	9781467309448
e-ISBN	9781467309455
e-ISBN	9781467309431
DOI	10.1109/ICSSE.2012.6257186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive systems Backstepping Time-delays Stochastic systems Artificial neural networks Complexity theory Neural network Adaptive output feedback control Stochastic nonlinear strict-feedback system
Content Type	Text
Resource Type	Article

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