一类非线性时滞系统的鲁棒间接自适应控制  

Robust indirect adaptive control for a class of nonlinear time-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,江苏扬州225009 [2]扬州大学新闻与传媒学院,江苏扬州225009

出　　处：《计算机应用》2009年第1期101-104,108,共5页journal of Computer Applications

基　　金：国家自然科学基金资助项目(60774017);江苏省教育厅自然科学基金资助项目(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,利用多层神经网络逼近的能力,提出具有投影算法的间接自适应控制方案。该方案通过监督控制器保证闭环系统所有信号有界,并引入综合误差的自适应补偿项来消除建模误差的影响。理论分析证明跟踪误差收敛到零,仿真结果表明该方法有的效性。A new indirect adaptive neural network control scheme with projection algorithm was developed for a class of uncertain nonlinear time-delay systems in this paper. The design was based on the principle of variable structure. Multi-layer Neural Networks （MNNs） were utilized to approximate for unknown plant functions. With the help of a supervisory controller, the resulted closed-loop system was globally stable in the sense that all signals involved were uniformly bounded. Furthermore, the adaptive compensation term of the optimal approximation error was introduced to minimize the effects of modeling error. By theoretical analysis, it is shown that the tracking error converges to zero, Simulation results demonstrate the effectiveness of the approach.

关 键 词：时滞系统 积分变结构 自适应控制 神经网络 全局稳定性 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] O231.2[自动化与计算机技术—控制科学与工程]