The Community for Technology Leaders
Fuzzy Systems and Knowledge Discovery, Fourth International Conference on (2008)
Oct. 18, 2008 to Oct. 20, 2008
ISBN: 978-0-7695-3305-6
pp: 484-488
ABSTRACT
Multi-model predictive control (MMPC) is an effective method to solve the control problem of strong nonlinear system. The well known problems in multi-model control strategy are the poor transient response and the frequent switching between different models. In this paper, a new switching scheme based on fuzzy zone is proposed for multi-model predictive control using clustering modeling to improve the transient response and weaken the oscillatory of the plant output. The improved MMPC strategy is applied in pH neutralization process and the simulation results demonstrate its validity.
INDEX TERMS
Multi-model predictive control, switching, clustering modeling
CITATION

L. Zhou, L. Zhou, S. Xie and A. Ma, "A New Switching Scheme for Multi-model Predictive Control Using Clustering Modeling," 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shandong, 2008, pp. 484-488.
doi:10.1109/FSKD.2008.335
93 ms
(Ver 3.3 (11022016))