Fuzzy Adaptive Finite-Time Tracking Control for a Class of Nonlinear Systems: An Event-Triggered Quantized Control Scheme

• Published in: IEEE transactions on fuzzy systems Vol. 31; no. 11; pp. 1 - 9
• Main Authors: Jiang, Yunbiao, Liu, Zhongxin, Chen, Zengqiang
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Backstepping; Constraints; Control systems; Filtered backstepping; finite-time control; full-state constraints; Fuzzy control; Fuzzy logic; fuzzy logic systems; Hysteresis; Nonlinear systems; Parameters; Quantization (signal); Stability analysis; Switches; Tracking control
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2023.3273551

This brief proposes a fuzzy adaptive event-triggered quantized finite-time control (ETQFTC) scheme for uncertain strict-feedback nonlinear systems with full-state constraints. By means of state transformation, filtered backstepping technique and fuzzy adaptive control with the idea of minimum learning parameter (MLP), a <inline-formula><tex-math notation="LaTeX">C^{1}</tex-math></inline-formula> ETQFTC scheme with low differential calculation and few parameter updates is developed. In the proposed scheme, the feasibility condition generally required in the existing state-constrained control, and the control chattering and singularity problem which are common in the existing FTC schemes are removed and avoided respectively. Finally, complete stability analysis and a set of comparative simulations are presented.