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Nonlinear model predictive control using multi-model approach based on Fractal Dimension Measurement

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2 Author(s)
Luo Wenguang ; Dept. of Electron. Inf. & Control Eng., Guangxi Univ. of Technol., Liuzhou, China ; Lan Hongli

A nonlinear discrete time system can be locally linearized and represented by a multi-model structure, and model's switching operation will affect system's 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.

Published in:

Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on  (Volume:2 )

Date of Conference:

20-22 Nov. 2009