Nonlinear Model Predictive Control using Multi-Model Approach Based on Fractal Dimension Measurement

摘要：

A nonlinear discrete time system can be locally linearized and represented by a multi-model structure, and models switching operation will affect systems performances. A novel switching strategy is proposed to make the multi-model system satisfy the given performances, namely, Fractal Dimension Measurement (shortened as FDM) of Euclid Norms between working points and the equilibrium point acts as a criterion for switching. A model predictive control strategy based on Laguerre functions is designed to make each linear system optimize for a given cost function. The simulation results are presented to validate the method.

关键词： nonlinear system switch control fractal dimension measurement Euclid norm multi-model control

作者: Luo Wenguang Lan Hongli

作者单位: Dept.of Electronic Information and Control Engineering Guangxi University of Technology Liuzhou,Chin Dept.of Computer Engineering Guangxi University of Technology Liuzhou,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 1530-1534

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）