Observed-Based Adaptive Fuzzy Decentralized Tracking Control for Switched Uncertain Nonlinear Large-Scale Systems With Dead Zones

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 46; no. 1; pp. 37 - 47
• Main Authors: Tong, Shaocheng, Zhang, Lili, Li, Yongming
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-01-2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control systems; Adaptive systems; Average dwell time; Control systems; Decentralized; Fuzzy; fuzzy adaptive decentralized control; Fuzzy logic; fuzzy logic systems (FLSs); Fuzzy set theory; Large-scale systems; Nonlinear systems; Nonlinearity; Observers; switched nonlinear large-scale systems; Switches; Tracking control; fuzzy adaptive decentralized control; Average dwell time; fuzzy logic systems (FLSs); switched nonlinear large-scale systems
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2015.2426131

In this paper, the problem of adaptive fuzzy decentralized output-feedback control design is investigated for a class of switched nonlinear large-scale systems in strict-feedback form. The considered nonlinear large-scale systems contain the unknown nonlinearities and dead zones, the switching signals with average dwell time, and without the direct requirement of the states being available for feedback. Fuzzy logic systems are utilized to approximate the unknown nonlinear functions, a fuzzy switched decentralized state observer is designed and thus via it the immeasurable states are obtained. By applying the adaptive decentralized backstepping design technique, an adaptive fuzzy decentralized output-feedback tracking control approach is developed for the switched subsystems. The stability of the whole closed-loop system is proved by using the Lyapunov function and the average dwell-time methods. Satisfactory tracking performance is achieved under the switching signals with average dwell time. The simulation example is provided to indicate the effectiveness of the proposed control method.