自动化学报2006，Vol.32Issue(2)：170-178,9.
虚拟控制增益函数未知的随机非线性系统模糊自适应控制
Fuzzy Adaptive Control of Stochastic Nonlinear Systems with Unknown Virtual Control Gain Function
摘要
Abstract
The problem of track control is studied for a class of strict-feedback stochastic nonlinear systems in which unknown virtual control gain function is the main feature. First, the so-called stochastic LaSalle theory is extended to some extent, and accordingly, the results of global ultimate boundedness for stochastic nonlinear systems are developed. Next, a new design scheme of fuzzy adaptive control is proposed. The advantage of it is that it does not require priori knowledge of virtual control gain function sign, which is usually demanded in many designs. At the same time,the track performance of closed-loop systems is improved by adaptive modifying the estimated error upper bound. By theoretical analysis, the signals of closed-loop systems are globally ultimately bounded in probability and the track error converges to a small residual set around the origin in 4th-power expectation.关键词
Stochastic nonlinear systems/fuzzy adaptive control/virtual control gain functionKey words
Stochastic nonlinear systems/fuzzy adaptive control/virtual control gain function分类
信息技术与安全科学引用本文复制引用
王迎春,张化光,王以忠..虚拟控制增益函数未知的随机非线性系统模糊自适应控制[J].自动化学报,2006,32(2):170-178,9.基金项目
Supported by National Natural Science Foundation of P. R. China (60572070, 60325311, 60534010) and Natural Science Foundation of Liaoning Province (20022030) （60572070, 60325311, 60534010）
