Observer-Based Adaptive Fuzzy Decentralized Event-Triggered Control of Interconnected Nonlinear System

• Published in: IEEE transactions on cybernetics Vol. 50; no. 7; pp. 3104 - 3112
• Main Authors: Li, Yuan-Xin, Tong, Shaocheng, Yang, Guang-Hong
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive systems; Backstepping; Control systems; Event triggered control; event-triggered control (ETC); Fuzzy control; Fuzzy logic; fuzzy logic systems (FLSs); Fuzzy systems; interconnected nonlinear systems; Interconnected systems; Lower bounds; Nonlinear control; Nonlinear systems; Observers; Output feedback; Subsystems; Symmetric matrices
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2019.2894024

This paper addresses the decentralized output feedback problem of an interconnected nonlinear system subject to uncertain interactions. A decentralized event-triggered control scheme is presented so that the decentralized output feedback problem is solved with only event-sampling states. With the proposed triggering mechanism, each subsystem only uses local signals to construct the decentralized controller at its own triggering times or the switching times. It is proved that both the tracking performance and the closed-loop stability can be preserved via the presented approach. Moreover, a uniform positive lower bound for the interevent time is guaranteed. Simulation results are presented to illustrate the effectiveness of the proposed control design.