NDLI: Predictive control algorithm based on Type-2 T-S fuzzy model and chaotic particle swarm optimization algorithem

Content Provider	IEEE Xplore Digital Library
Author	Zhang Enkui Su Baili Zhang Xianxia
Copyright Year	2012
Description	Author affiliation: School of Electrical Information and Automation, Qufu Normal University, Rizhao 276826 (Zhang Enkui; Su Baili) \|\| School of Mechatronics and Automation, Shanghai University, Shanghai, 200072 (Zhang Xianxia)
Abstract	In this paper, a predictive control algorithm is presented based on Type-2 fuzzy model and chaotic particle swarm optimization (CPSO) algorithm: using the Type-2 T-S fuzzy model as predictive model, and using CPSO algorithm to solve the optimization index, so the predictive control can avoid complex gradient calculation and matrix inversion, and can quickly to search the optimal solution. Furthermore, in order to improve the effectiveness of Type-2 model, the modified G-K clustering method is applied to determine the clustering number c and clustering centers. For a numerical example, the simulation results show the effectiveness of the algorithm proposed in this paper.
Starting Page	4172
Ending Page	4176
File Size	713499
Page Count	5
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Chaotic particle swarm optimization algorithm Type-2 T-S fuzzy model Clustering algorithms Nonlinear system Predictive models Prediction algorithms Educational institutions Electronic mail Particle swarm optimization G-K clustering method Predictive control
Content Type	Text
Resource Type	Article

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