NDLI: A multi-objective predictive control method for model mismatch

Content Provider	IEEE Xplore Digital Library
Author	Shi Hong-Yan Wang Liang Wang Guo-Gang
Copyright Year	2012
Description	Author affiliation: School of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China (Shi Hong-Yan; Wang Guo-Gang) \|\| Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016 (Wang Liang)
Abstract	In this paper, a multi-objective predictive control method was presented for model mismatch of nonlinear system. Predictive control was restored to multi-objective control, then more Pareto solutions were obtained and pseudo-weighted vector were computed by using multi-objective particle swarm optimization algorithm. Finally, the model error probability distribution was used to select the optimal solution as a control input for controlling object. Proposed three control performance index, that smoothness index, the average error index and quadratic performance index, based on three index a nonlinear system was simulated. Results show that when the nonlinear system model mismatch, the multi-objective predictive control performance better, and a good control effect was achieved.
Starting Page	4207
Ending Page	4211
File Size	245751
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	Nonlinear Multi-Objective Particle Swarm Optimization Computational modeling Model Mismatch Predictive models Multi-Objective Predictive Control Educational institutions Electronic mail Indexes Nonlinear systems Predictive control
Content Type	Text
Resource Type	Article

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