Event-Triggered Fuzzy Control for Nonlinear Systems via Sliding Mode Approach

• Published in: IEEE transactions on fuzzy systems Vol. 29; no. 2; pp. 336 - 344
• Main Authors: Su, Xiaojie, Wen, Yao, Shi, Peng, Wang, Shuoyu, Assawinchaichote, Wudhichai
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.02.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Control systems; Dynamical systems; Event-triggered control; Fuzzy control; Fuzzy systems; Liapunov functions; Linear matrix inequalities; Mathematical analysis; Nonlinear control; Nonlinear dynamical systems; Nonlinear systems; Sliding mode control; sliding mode control (SMC); Trajectory
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2019.2952798

This article addresses the problem of continuous-time dynamic sliding mode control for Takagi-Sugeno fuzzy nonlinear systems based on an event-triggered mechanism. First, a novel sliding mode dynamic system is established by introducing a corresponding sliding mode function and an efficient event-triggered mechanism. Then, based on a new Lyapunov function and the reciprocally convex method, sufficient conditions are presented to guarantee that the constructed network sliding mode dynamics is asymptotically stable. It is shown that the trajectories of the sliding mode dynamic system can converge into a bounded domain of a sliding mode surface in finite time. Furthermore, the explicit expression of the desired sliding mode controller is given in the form of linear matrix inequalities. Finally, the applicability and effectiveness of the proposed design techniques are demonstrated by a numerical example.