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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Published in | Journal of advanced computational intelligence and intelligent informatics Vol. 28; no. 5; pp. 1186 - 1194 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Tokyo
Fuji Technology Press Co. Ltd
20.09.2024
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Subjects | |
Online Access | Get full text |
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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. |
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ISSN: | 1343-0130 1883-8014 |
DOI: | 10.20965/jaciii.2024.p1186 |