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.
出处
《控制与决策》
EI
CSCD
北大核心
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
