一类非线性时滞系统变结构自适应控制  

Variable structure adaptive control for a class of nonlinear time-varying delay systems

作　　者：钱厚斌[1,2] 张天平[1] 

机构地区：[1]扬州大学信息工程学院,225009 [2]扬州大学新闻与传媒学院,225009

出　　处：《微计算机信息》2009年第16期46-47,109,共3页Control & Automation

基　　金：基金申请人:张天平;项目名称:具有未知死区;时滞的非线性系统的鲁棒自适应控制;基金颁发部门:国家自然科学基金委(60774017);基金申请人:张天平;项目名称:基于数据结构分析的分类器集成及应用研究;基金颁发部门:江苏省教育厅自然科学基金委(07KJB520133)

摘　　要：针对一类不确定非线性时滞系统,基于变结构控制原理,利用多层神经网络函数逼近能力,设计了一种具有监督控制器的积分变结构间接自适应神经网络控制方案,该方案引入综合误差的自适应补偿项来消除建模误差的影响,同时通过监督控制器保证闭环系统全局一致终结有界,且跟踪误差收敛到零,仿真结果表明了该方法的有效性.A new integral variable structure indirect adaptive neural network control scheme with supervisory controller is developed for a class of uncertain nonlinear time-varying delay systems in this paper. The design is based on the principle of variable structure. Muhi-layer neural networks are utilized to approximate for unknown plant functions. With the help of a supervisory controller, the resulting closed-loop system is globally stable in the sense that all signals involved are uniformly bounded. Furthermore, the adaptive compensation term of the optimal approximation error is introduced to minimize the effects of modeling error. By theoretical analysis, it is shown that tracking error converges to zero. Simulation results demonstrate the effectiveness of the approach.

关 键 词：积分变结构 自适应控制 神经网络 时变时滞 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]