Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems

Tuan Tu Huynh, Chih Min Lin, Nguyen Quoc Khanh Le, Mai The Vu, Ngoc Phi Nguyen, Fei Chao

研究成果: 雜誌貢獻文章同行評審

2 引文 斯高帕斯(Scopus)

摘要

This study aims to propose a more efficient hybrid algorithm to achieve favorable control performance for uncertain nonlinear systems. The proposed algorithm comprises a dual function-link network-based multilayer wavelet fuzzy brain emotional controller and a sign(.) functional compensator. The proposed algorithm estimates the judgment and emotion of a brain that includes two fuzzy inference systems for the amygdala network and the prefrontal cortex network via using a dual-function-link network and three sub-structures. Three sub-structures are a dual-function-link network, an amygdala network, and a prefrontal cortex network. Particularly, the dual-function-link network is used to adjust the amygdala and orbitofrontal weights separately so that the proposed algorithm can efficiently reduce the tracking error, follow the reference signal well, and achieve good performance. A Lyapunov stability function is used to determine the adaptive laws, which are used to efficiently tune the system parameters online. Simulation and experimental studies for an antilock braking system and a magnetic levitation system are presented to verify the effectiveness and advantage of the proposed algorithm.
原文英語
頁(從 - 到)2720-2744
頁數25
期刊Applied Intelligence
52
發行號3
DOIs
出版狀態已發佈 - 2月 2022

ASJC Scopus subject areas

  • 人工智慧

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