Adaptive Control of a Class of Multivariable Nonlinear Systems and Convergence Analysis

Zhang Jingxin, Lang Shijun
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引用次数: 4

Abstract

This paper is concerned with adaptive control of a class of multivariable nonlinear systems which can be characterized by a stochastic multivariable Hammerstein model whose linear part possesses an arbitrary interactor matrix. A simple suboptimal control law is derived which provides an efficient way to the control of the multivariable Hammerstein model systems whose linear part is not necessarily minimum phase. A direct adaptation scheme is presented to implement the control law and the global convergence of the algorithm is established.
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一类多变量非线性系统的自适应控制及收敛性分析
研究了一类多变量非线性系统的自适应控制问题,该系统可以用随机多变量Hammerstein模型来表征,该模型的线性部分具有任意交互作用矩阵。导出了一种简单的次优控制律,为线性部分不一定是最小相位的多变量Hammerstein模型系统的控制提供了一种有效的方法。提出了一种直接自适应方案来实现控制律,并证明了算法的全局收敛性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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