A Nonlinear Predictive Model Based on Multilayer Perceptron Network

摘要：

Predictive model is the foundation of model predictive control algorithm. Most of the model predictive control algorithms applied in practice are based on linear predictive model. But a linear predictive model is not suitable to the process which is highly nonlinear and has long time delay. This paper analyzed the advantages and defects of some nonlinear models and proposed a kind of nonlinear predictive model based on multilayer perceptron network through consulting to NARMAX model and making use of the function approximation capability of multilayer perceptron network. Simulation experiment indicated that the nonlinear predictive model proposed in this paper can excellently predict the output information of a nonlinear system.

关键词： Model Predictive Control Nonlinear System Multilayer Perceptron Neural Network NARMAX

作者: Huijun Li Gang Ji Zengliang Ma

作者单位: Institute of Automation Chinese Academy of Science Beijing, China

会议类型: 国际会议

会议名称: 2007 IEEE International Conference on Automation and Lofistics

会议地点: 山东济南

会议语种:英文

在线出版日期: 2007-08-18（万方平台首次上网日期，不代表论文的发表时间）