文献类型：期刊文献

英文题名：Neural-observer-based adaptive control for stochastic nonlinear time-delay systems with unknown control directions

作者：Zhaoxu, Yu[1]; Shugang, Li[2]; Fangfei, Li[3]

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, China; [2] Department of Industrial Engineering and Logistics, Shanghai Jiao Tong University, Shanghai, China; [3] Department of Mathematics, East China University of Science and Technology, Shanghai, China

年份：2015

卷号：2015-September

起止页码：829

外文期刊名：Chinese Control Conference, CCC

收录：EI(收录号：20154601538158)

语种：英文

摘要：The problem of output feedback adaptive stabilization is addressed for a class of stochastic nonlinear systems with unknown time-varying delays and unknown control directions in this paper. Firstly, the unknown control coefficients are lumped together by using a linear state transformation, and the original system is transformed into a new system for which control design becomes feasible. Then, after the design of a novel neural observer, an output feedback adaptive neural network (NN) controller is developed for such systems by combining the Dynamic Surface Control (DSC) technique, the Nussbaum gain function (NGF) method and the Lyapunov-Krasovskii method. The proposed controller ensures that all signals in the closed-loop systems are bounded in probability. Finally, a simulation example is given to verify the effectiveness and applicability of the proposed control design. ? 2015 Technical Committee on Control Theory, Chinese Association of Automation.