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

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 o...

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Bibliographic Details
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
Online Access:Get full text
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Summary: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.
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ISSN:1063-6706
1941-0034
DOI:10.1109/TFUZZ.2023.3245294