Event-based performance guaranteed tracking control for constrained nonlinear system via adaptive dynamic programming method
An optimal tracking control problem for a class of nonlinear systems with guaranteed performance and asymmetric input constraints is discussed in this paper. The control policy is implemented by adaptive dynamic programming (ADP) algorithm under two event-based triggering mechanisms. It is often cha...
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| Published in: | Journal of Automation and Intelligence Vol. 2; no. 4; pp. 239 - 247 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
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KeAi Communications Co., Ltd
01.11.2023
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| ISSN: | 2949-8554 |
| Online Access: | Get full text |
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| Abstract | An optimal tracking control problem for a class of nonlinear systems with guaranteed performance and asymmetric input constraints is discussed in this paper. The control policy is implemented by adaptive dynamic programming (ADP) algorithm under two event-based triggering mechanisms. It is often challenging to design an optimal control law due to the system deviation caused by asymmetric input constraints. First, a prescribed performance control technique is employed to guarantee the tracking errors within predetermined boundaries. Subsequently, considering the asymmetric input constraints, a discounted non-quadratic cost function is introduced. Moreover, in order to reduce controller updates, an event-triggered control law is developed for ADP algorithm. After that, to further simplify the complexity of controller design, this work is extended to a self-triggered case for relaxing the need for continuous signal monitoring by hardware devices. By employing the Lyapunov method, the uniform ultimate boundedness of all signals is proved to be guaranteed. Finally, a simulation example on a mass–spring–damper system subject to asymmetric input constraints is provided to validate the effectiveness of the proposed control scheme. |
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| AbstractList | An optimal tracking control problem for a class of nonlinear systems with guaranteed performance and asymmetric input constraints is discussed in this paper. The control policy is implemented by adaptive dynamic programming (ADP) algorithm under two event-based triggering mechanisms. It is often challenging to design an optimal control law due to the system deviation caused by asymmetric input constraints. First, a prescribed performance control technique is employed to guarantee the tracking errors within predetermined boundaries. Subsequently, considering the asymmetric input constraints, a discounted non-quadratic cost function is introduced. Moreover, in order to reduce controller updates, an event-triggered control law is developed for ADP algorithm. After that, to further simplify the complexity of controller design, this work is extended to a self-triggered case for relaxing the need for continuous signal monitoring by hardware devices. By employing the Lyapunov method, the uniform ultimate boundedness of all signals is proved to be guaranteed. Finally, a simulation example on a mass–spring–damper system subject to asymmetric input constraints is provided to validate the effectiveness of the proposed control scheme. |
| Author | Zijie Guo Xingyi Zhang Hongyi Li Hongru Ren |
| Author_xml | – sequence: 1 fullname: Xingyi Zhang organization: School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China – sequence: 2 fullname: Zijie Guo organization: School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China – sequence: 3 fullname: Hongru Ren organization: School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China – sequence: 4 fullname: Hongyi Li organization: Corresponding author.; School of Automation and Guangdong Provincial Key Laboratory of Intelligent Decision and Cooperative Control, Guangdong University of Technology, Guangzhou 510006, China |
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| SubjectTerms | Adaptive dynamic programming (ADP) Asymmetric input constraints Event-triggered control Optimal tracking control Prescribed performance control |
| Title | Event-based performance guaranteed tracking control for constrained nonlinear system via adaptive dynamic programming method |
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