Wiener型非线性系统的La—RBF组合模型预测控制
REDICTIVE CONTROL FOR WIENER TYPE NONLINEAR SYSTEMS BASED ON LAGUERRE MODEL AND RBF NEURAL NETWORK MODEL
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摘要: 针对Wiener型非线性系统，本文提出了一种基于Laguerre函数模型与RBF神经网络模型的组合模型的预测控制策略，研究结果表明该组合模型兼具两者的优点，适用范围广，对系统变时延，变阶次及变非线性都具有良好的控制效果．Abstract: In this paper, a new predictive control scheme for Wiener type nonlinear systems based on Laguerre functions model and RBF neural networks model is presented. The combined model has advantages of both Laguerre functions model and RBF neural networks model, and has a good control for the system with changes in time-delay, order and structure of nonlinear system.
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