文献类型：期刊文献

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

作者：Yu, Zhaoxu[1];Li, Shugang[2];Du, Hongbin[1]

机构：[1]E China Univ Sci & Technol, Key Lab Adv Control & Optimizat Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Ind Engn & Logist, Shanghai 200240, Peoples R China

年份：2014

卷号：25

期号：7-8

起止页码：1979

外文期刊名：NEURAL COMPUTING & APPLICATIONS

收录：;EI(收录号：20143600018049);WOS:【SCI-EXPANDED(收录号:WOS:000344775800038)】；

语种：英文

外文关键词：Stochastic nonlinear systems; Output feedback; Neural network; Unknown control direction; Time-varying delay

摘要：This paper first focuses on the problem of adaptive output feedback stabilization for a more general class of stochastic nonlinear time-delay systems with unknown control directions. By using a linear state transformation, the original system is transformed to a new system for which control design becomes feasible. Then a novel adaptive neural network (NN) output feedback control strategy, which only contains one adaptive parameter, is developed for such systems by combining the input-driven filter design, the backstepping technique, the NN's parameterization, the Nussbaum gain function method and the Lyapunov-Krasovskii approach. The proposed control design guarantees that all signals in the closed-loop systems are 4-moment (or 2-moment) semi-globally uniformly bounded. Finally, two simulation examples are given to demonstrate the effectiveness and the applicability of the proposed control design.