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

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...