Event-Based Fuzzy Tracking Control for Nonlinear Networked Systems Subject to Dynamic Quantization

• Published in: IEEE transactions on fuzzy systems Vol. 31; no. 3; pp. 941 - 954
• Main Authors: Li, Zhi-Min, Chang, Xiao-Heng, Xiong, Jun
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.03.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Closed loops; Control design; Control systems; Controllers; Counters; Discrete time systems; Dynamic quantization; event-triggering communication scheme; Feedback control; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Mathematical analysis; Measurement; Nonlinear control; Nonlinear systems; Output feedback; Quantization (signal); Systems theory; Takagi–Sugeno (T–S) fuzzy systems; Tracking control; Tracking errors; Tracking loops
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2022.3193445

This article investigates the problem of event-based output feedback tracking control for discrete-time nonlinear networked systems with dynamic quantization. The Takagi-Sugeno (T-S) fuzzy systems theory is utilized to approximate the investigated nonlinear systems. Three general dynamic quantizers and an improved asynchronous event-triggering communication scheme are carried out to comprehensively decrease the amount of data in the communication of network and realize the rational utilization of limited communication resources. The objective is to design an event-based static output feedback tracking controller such that, in the presence of dynamic quantization, the closed-loop system can be asymptotically stabilized, and the tracking error achieves the predefined tracking performance. Moreover, the parameters for the desired dynamic quantizers and tracking controller can be obtained simultaneously by solving a set of linear matrix inequalities. Finally, the simulation responses are provided to demonstrate the validity of the proposed tracking control strategy.