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JACIII Vol.28 No.5 pp. 1186-1194
doi: 10.20965/jaciii.2024.p1186
(2024)

Research Paper:

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Predictive Controller for Large-Scale Fuzzy Polynomial Systems

Ziqin Xu and Lizhen Li†

Shanghai University of Electric Power
No.1851 Huchenghuan Road, Pudong New Area, Shanghai 201306, China

†Corresponding author

Received:
March 5, 2024
Accepted:
July 22, 2024
Published:
September 20, 2024
Creative Commons License
Keywords:
large-scale systems, predictive control, fuzzy control, sum of squares
Abstract

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.

Cite this article as:
Z. Xu and L. Li, “Predictive Controller for Large-Scale Fuzzy Polynomial Systems,” J. Adv. Comput. Intell. Intell. Inform., Vol.28 No.5, pp. 1186-1194, 2024.
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Last updated on Oct. 01, 2024