非线性MIMO系统线性化解耦的一种新方法(Ⅱ)——离散时间系统  

Novel Method for Decoupling MIMO Nonlinear System with Linearization (Ⅱ)——Discrete-time System

作　　者：何丹[1] 戴先中[1] 张兴华[1] 阮建山[1] 

机构地区：[1]东南大学自动控制系,南京210096

出　　处：《控制与决策》1999年第6期631-635,共5页Control and Decision

基　　金：国家自然科学基金;江苏省自然科学基金

摘　　要：研究如何构造神经网络（ＮＮ） α阶时延逆系统，并将其用于ＭＩＭＯ 强耦合非线性离散时间系统的线性化解耦。ＮＮα阶时延逆系统由单个静态神经网络和若干时延因子组成，将其与原系统复合可形成具有最小阶时延的伪线性解耦系统。该方法对被控系统数学模型的先验知识要求很少，不但能有效地实现对原系统的线性化解耦，且结构简单。This paper focuses on constructing neural network(NN) α-th order time-delay inverse and using it to decouple and linearize MIMO nonlinear discrete-time system. The NN α-th order inverse of the MIMO nonlinear system is composed of a static neural network and a number of time-delay factors(z\+ -1 ). When it is simply cascaded with the original nonlinear MIMO system, a number of independent pseudo-linear SISO systems with the minimum-order time-delays are obtained. Simulation results show that the proposed decoupling method is very effective even for model unknown MIMO system and is easy to be put into enginearing.

关 键 词：线性化 解耦 离散时间系统 MIMO系统 非线性 

分 类 号：TP271.8[自动化与计算机技术—检测技术与自动化装置] O231[自动化与计算机技术—控制科学与工程]