文献类型：期刊文献

英文题名：Adaptive neural output feedback control for stochastic nonlinear systems with unknown control directions

作者：Yu, Zhaoxu[1]; Li, Shugang[2]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education, East China University of Science and Technology, Shanghai 200237, China; [2] Department of Industrial Engineering and Logistics, Shanghai Jiao Tong University, Shanghai, 200240, China

年份：2013

起止页码：932

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20135217122069)

语种：英文

外文关键词：Linear transformations - Feedback control - Stochastic control systems - Closed loop control systems - Adaptive control systems - Backstepping

摘要：This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control directions. By using a linear state transformation, the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes feasible. By employing the input-driven observer, a novel adaptive neural network (NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' parameterization. The proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded. ? 2013 TCCT, CAA.