A developed observer-based type-2 fuzzy control for chaotic systems

被引：12
|
作者：
Sabzalian, Mohammad Hosein [1 ]
Mohammadzadeh, Ardashir [2 ]
Rathinasamy, Sakthivel [3 ]
Zhang, Weidong [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200240, Peoples R China
[2] Univ Bonab, Dept Elect Engn, Bonab, Iran
[3] Bharathiar Univ, Dept Appl Math, Coimbatore, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE | 2023年 / 54卷 / 15期
基金：
中国国家自然科学基金; 国家重点研发计划;
关键词：
Fuzzy control; type-2 fuzzy systems; observer; chaotic systems; stability; ADAPTIVE SYNCHRONIZATION; NONLINEAR-SYSTEMS; CONTROL DESIGN; DELAYS;
D O I：
10.1080/00207721.2021.1918282
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study presents a novel observer-based fuzzy control for chaotic systems (CSs). A class of CSs with unmeasurable states, unknown input constraints and unknown dynamics is taken to account. A generalised type-2 (GT2) fuzzy logic system (FLS) is formulated to approximate the uncertainties. The parameters of GT2-FLS are adjusted through the tuning rules that are extracted from robustness investigation. The proposed method is applied on CSs and it is demonstrated that the suggested observer and control system result in good performance in versus of disturbances, uncertainties, unknown and time-varying input nonlinearities, unmeasurable states and noisy faults. Comparison with other type of fuzzy systems demonstrates that the proposed GT2-FLS based controller is more effective.
引用
收藏
页码：2921 / 2940
页数：20
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