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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Published inIEEE 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
LanguageEnglish
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
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Abstract 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.
AbstractList An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts by 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 the communication burden in the closed-loop system, an event-triggered mechanism is introduced such that the control signal is updated only at a specific instant when 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 the Lyapunov stability theory, the stability of the closed-loop system is rigorously analyzed, and the effectiveness of the proposed control approach is verified by two simulation examples.
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.
Author Yue, Wenbin
Liu, Aaron
Gao, Weinan
Fan, Xin
Geng, Shuocong
Wu, Jinran
Yang, Yang
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Snippet An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts from...
An event-triggered output feedback control approach is proposed via a disturbance observer and adaptive dynamic programming (ADP). The solution starts by...
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SubjectTerms 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
Title Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming
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