Generalized Predictive Control of Nonlinear System Based on Mind Evolutionary Algorithm

摘要：

In order to apply the thought of generalized predictive control to nonlinear system successfully, this paper presents a way based on Mind Evolutionary Algorithm(IVIEA) in which nonlinear system is divided into nonlinear subsystem and linear subsystem. MEA optimizes and draws into the output of nonlinear subsystem. Linear subsystem uses CARIMA as its model and uses DLS as its on-line learning algorithm. The error of the nonlinear system model is compensated by itself feedback gain. A simulated study has proved its validity.

关键词： Nonlinear system Mind evolutionary algorithm Generalized predictive control

作者: Hongge Guo Kerning Xie ,Gang Xie

作者单位: The College of Information Engineering Taiyuan University of Technology The College of Electronic a The College of Information Engineering Taiyuan University of Technology Taiyuan 030024, Shanxi, Chin

会议类型: 国际会议

会议名称: International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

会议地点: 太原

会议语种:英文

页码: 552-554

在线出版日期: 2010-09-26（万方平台首次上网日期，不代表论文的发表时间）