节点文献
基于改进型Volterra基函数网络的直接自适应逆控制方法
Direct Adaptive Inverse Control Strategy Based on Modified VPBF Neural Networks
【摘要】 构造一种改进型 Volterra基函数网络 ,其特点是结构简单 ,容易离线确定最佳网络结构和初始权值。通过利用该网络在线学习非线性系统的逆 ,构造出一种非线性系统的直接自适应逆控制策略 ,并从理论上证明了闭环系统跟踪误差一致最终有界。仿真结果表明该方法的鲁棒性能良好
【Abstract】 A modified Volterra polynomial basis function (VPBF) neural network with simple structure is constructed. The structure and the initial parameters are easily determined. A direct adaptive inverse control strategy is proposed by on line learning the inverse of the controller plant directly by using modified VPBF neural networks. The closed loop control system is proved to be uniformly ultimately bounded (UUB). A simulation result shows that the strategy has good robustness.
【关键词】 非线性系统控制;
Volterra基函数网络;
自适应逆控制;
【Key words】 nonlinear systems control; Volterra polynomial basis function; adaptive inverse control;
【Key words】 nonlinear systems control; Volterra polynomial basis function; adaptive inverse control;
- 【文献出处】 控制与决策 ,Control and Decision , 编辑部邮箱 ,2001年05期
- 【分类号】TP183
- 【被引频次】28
- 【下载频次】155