Predictive Controller for Large-Scale Fuzzy Polynomial Systems

This paper presents an innovative method to tackle the predictive-control challenges associated with large-scale fuzzy polynomial systems comprising interconnected polynomial fuzzy systems. This study models large-scale nonlinear fuzzy systems in a polynomial framework, which can reduce the number o...

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Bibliographic Details
Published inJournal of advanced computational intelligence and intelligent informatics Vol. 28; no. 5; pp. 1186 - 1194
Main Authors Xu, Ziqin, Li, Lizhen
Format Journal Article
LanguageEnglish
Published Tokyo Fuji Technology Press Co. Ltd 20.09.2024
Subjects
Algorithms
Controllers
Fuzzy control
Fuzzy sets
Fuzzy systems
Nonlinear control
Nonlinear systems
Polynomials
Predictive control
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Summary:This paper presents an innovative method to tackle the predictive-control challenges associated with large-scale fuzzy polynomial systems comprising interconnected polynomial fuzzy systems. This study models large-scale nonlinear fuzzy systems in a polynomial framework, which can reduce the number of fuzzy rules. We derive the conditions for controller synthesis in the main theorem using the Lyapunov theory and sum-of-squares technique. Simulation results confirm the validity and efficiency of this approach.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2024.p1186