Observer-based decentralized adaptive control for large-scale nonlinear systems with mixed dynamic interaction

• Published in: Journal of the Franklin Institute Vol. 359; no. 1; pp. 392 - 414
• Main Authors: Yang, Wenjing, Xia, Jianwei, Shen, Hao, Chen, Guoliang, Wei, Weibo
• Format: Journal Article
• Language: English
• Published: Elmsford Elsevier Ltd 01.01.2022; Elsevier Science Ltd
• Subjects: Adaptive control; Closed loop systems; Control systems design; Controllers; Feedback control; Feedback control systems; Fuzzy logic; Nonlinear control; Nonlinear systems; Output feedback; State observers
• ISSN: 0016-0032; 1879-2693; 0016-0032
• DOI: 10.1016/j.jfranklin.2021.10.025

The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to tackle unknown nonlinear function with nonstrict-feedback structure. Then, by combining adaptive and backstepping technology, the proper output feedback controller is designed. Meanwhile, a fuzzy state observer is proposed to estimate the unmeasurable states. The proposed controller could guarantee that all the signals of the resulting closed-loop systems are bounded. Finally, the applicability of the proposed controller is well carried out by a simulation example.