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 in | IEEE transactions on fuzzy systems Vol. 31; no. 9; pp. 1 - 13 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.09.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
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 |