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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| Veröffentlicht in: | IEEE transactions on fuzzy systems 2023-09, Vol.31 (9), p.1-13 |
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| container_title | IEEE transactions on fuzzy systems |
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| creator | Yang, Yang Fan, Xin Gao, Weinan Yue, Wenbin Liu, Aaron Geng, Shuocong Wu, Jinran |
| description | 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. |
| doi_str_mv | 10.1109/TFUZZ.2023.3245294 |
| format | Article |
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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. 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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.</description><subject>Adaptive control</subject><subject>Adaptive dynamic programming</subject><subject>Closed loops</subject><subject>disturbance observer</subject><subject>Disturbance observers</subject><subject>Dynamic programming</subject><subject>event-triggered mechanism</subject><subject>Feedback control</subject><subject>Neural networks</subject><subject>Nonlinear systems</subject><subject>Optimal control</subject><subject>Output feedback</subject><subject>output-feedback control</subject><subject>Stability analysis</subject><subject>Stability criteria</subject><subject>State observers</subject><subject>System dynamics</subject><subject>Telecommunications</subject><issn>1063-6706</issn><issn>1941-0034</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpNkE1P4zAURaMRSMPH_IHRLCyxTnnPcZx4iQqdQUIUibJhEznJc2WmsYvtVOqWX06gLFjdt7jnXelk2W-EGSKoy9Xi6fl5xoEXs4KLkivxIztBJTAHKMTRdIMsclmB_JmdxvgCgKLE-iR7u9mRS_kq2PWaAvVsOabtmNiCqG9195_NvUvBb5jxgWk23-gYmTfs3ruNdaQDe9zHRENkO6vZtY1pDK12HbFlGynsaKJcz656vU12R-x67_RgO_YQ_DroYbBufZ4dG72J9Osrz7Knxc1q_i-_W_69nV_d5R1XMuWqNhpb2fZAXBiuNBTQiop41aEyCrCUhipTQSnLjmpdC0KJfaWVkIi1KM6yi8PfbfCvI8XUvPgxuGmy4XWpKqykqqcWP7S64GMMZJptsIMO-wah-XDdfLpuPlw3X64n6M8BskT0DQBRAsriHYvTfEU</recordid><startdate>20230901</startdate><enddate>20230901</enddate><creator>Yang, Yang</creator><creator>Fan, Xin</creator><creator>Gao, Weinan</creator><creator>Yue, Wenbin</creator><creator>Liu, Aaron</creator><creator>Geng, Shuocong</creator><creator>Wu, Jinran</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| 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 |
| title | Event-Triggered Output Feedback Control for a Class of Nonlinear Systems via Disturbance Observer and Adaptive Dynamic Programming |
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