Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming

• Published in: IEEE transactions on fuzzy systems Vol. 31; no. 9; pp. 1 - 13
• Main Authors: Yang, Yang, Fan, Xin, Gao, Weinan, Yue, Wenbin, Liu, Aaron, Geng, Shuocong, Wu, Jinran
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Adaptive dynamic programming; Closed loops; disturbance observer; Disturbance observers; Dynamic programming; event-triggered mechanism; Feedback control; Neural networks; Nonlinear systems; Optimal control; Output feedback; output-feedback control; Stability analysis; Stability criteria; State observers; System dynamics; Telecommunications
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2023.3245294

An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts from constructing a nonlinear disturbance observer which only depends on the measurement of system output. A state observer is then developed based on approximation information of system dynamics via neural networks. In order to avoid continuous transmission and reduce communication burden in the closed-loop system, an event-triggered mechanism is introduced such that the control signal is updated only at specific instant that a triggered condition is violated. By virtue of the disturbance observer and state observer, an output-feedback ADP control approach then is developed, where only a critic network is employed to estimate the value function. Based on Lyapunov stability theory, stability of the closed-loop system is rigorously analyzed, and the effectiveness of the proposed control approach is verified by two simulation examples.