Neural-Based Adaptive Output-Feedback Control for a Class of Nonstrict-Feedback Stochastic Nonlinear Systems

In this paper, we consider the problem of observer-based adaptive neural output-feedback control for a class of stochastic nonlinear systems with nonstrict-feedback structure. To overcome the design difficulty from the nonstrict-feedback structure, a variable separation approach is introduced by usi...

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Veröffentlicht in:	IEEE transactions on cybernetics 2015-09, Vol.45 (9), p.1977-1987
Hauptverfasser:	Wang, Huanqing, Liu, Kefu, Liu, Xiaoping, Chen, Bing, Lin, Chong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive neural output-feedback control Adaptive systems Approximation methods Backstepping Computer Simulation Feedback Neural Networks (Computer) Nonlinear Dynamics Nonlinear systems nonstrict-feedback structure Observers Output feedback stochastic nonlinear systems Stochastic Processes
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