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Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO
Joint Authors
Taieb, Adel
Soltani, Moêz
Chaari, Abdelkader
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-09
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm.
The aim of this proposed control, called FOMPC-APSO, is to develop an efficient algorithm that is able to have good performance by guaranteeing a minimal control.
This is done by determining the optimal weights of the objective function.
Our method is considered an optimization problem based on the APSO algorithm.
The MIMO system to be controlled is modeled by a Takagi-Sugeno (TS) fuzzy system whose parameters are identified using weighted recursive least squares method.
The utility of the proposed controller is demonstrated by applying it to two nonlinear processes, Continuous Stirred Tank Reactor (CSTR) and Tank system, where the proposed approach provides better performances compared with other methods.
American Psychological Association (APA)
Taieb, Adel& Soltani, Moêz& Chaari, Abdelkader. 2017. Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO. Complexity،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143133
Modern Language Association (MLA)
Taieb, Adel…[et al.]. Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO. Complexity No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1143133
American Medical Association (AMA)
Taieb, Adel& Soltani, Moêz& Chaari, Abdelkader. Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO. Complexity. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143133
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143133