Achieving Given Precision Within Prescribed Time yet With Guaranteed Transient Behavior via Output Based Event-Triggered Control

Zeqiang Li; Yujuan Wang; Yongduan Song

doi:10.1109/JAS.2023.124134

Volume 11 Issue 10

Oct. 2024

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2024 > 11(10): 2059-2067

Z. Li, Y. Wang, and Y. Song, “Achieving given precision within prescribed time yet with guaranteed transient behavior via output based event-triggered control,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2059–2067, Oct. 2024. doi: 10.1109/JAS.2023.124134

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Z. Li, Y. Wang, and Y. Song, “Achieving given precision within prescribed time yet with guaranteed transient behavior via output based event-triggered control,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 10, pp. 2059–2067, Oct. 2024. doi: 10.1109/JAS.2023.124134

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Achieving Given Precision Within Prescribed Time yet With Guaranteed Transient Behavior via Output Based Event-Triggered Control

doi: 10.1109/JAS.2023.124134

Funds: This work was supported in part by the National Natural Science Foundation of China (61933012, 62273064, 61991400, 61991403, 62250710167, 61860206008, 62203078), the National Key Research and Development Program of China (2023YFA1011803), the Natural Science Foundation of Chongqing (CSTB2023NSCQ-MSX0588), the Innovation Support Program for International Students Returning to China (cx2022016), and the Central University Project (2022CDJKYJH019)

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Author Bio:
Zeqiang Li received the B.S. degree from Tiangong University, in 2018. He is currently pursuing the Ph.D. degree with the School of Automation, Chongqing University.His current research interests include adaptive control, prescribed performance control and multi-agent systems

Yujuan Wang received the Ph.D. degree in control theory and control engineering from Chongqing University, in 2016. She is currently a Professor with the School of Automation in Chongqing University. She was a Research Associate with the Department of Electrical and Electronic Engineering in the University of Hong Kong, Hong Kong, China, during 2017–2018.Her research interests include cooperative control, adaptive control, finite-time control, fault-tolerant control

Yongduan Song (Fellow, IEEE) received the Ph.D. degree in electrical and computer engineering from Tennessee Technological University, USA, in 1992.He was granted a Tenured Full Professor position with North Carolina Agricultural and Technical State University, USA, in 2004, and he was one of the six Langley Distinguished Professors with the National Institute of Aerospace (NIA), USA, and the Founding Director of the Center for Cooperative Systems, NIA from 2005 to 2008. He is currently the Dean of the Institute of Artificial Intelligence, Chongqing University, and the Founding Director of the Institute of Smart Engineering, Chongqing University.Dr. Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems. He has served/been serving as an Associate Editor for several top IEEE journals, including IEEE Transactions on Automatic Control, IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Intelligent Transportation Systems, and IEEE Transactions on Cognitive and Developmental Systems
Corresponding author: Yujuan Wang, e-mail: yjwang66@cqu.edu.cn
Received Date: 2023-10-15
Accepted Date: 2023-11-26

Available Online: 2024-05-09

Abstract

Abstract

It is interesting yet nontrivial to achieve given control precision within user-assignable time for uncertain nonlinear systems. The underlying problem becomes even more challenging if the transient behavior also needs to be accommodated and only system output is available for feedback. Several key design innovations are proposed to circumvent the aforementioned technical difficulties, including the employment of state estimation filters with event-triggered mechanism, the construction of a novel performance scaling function and an error transformation. In contrast to most existing performance based works where the stability is contingent on initial conditions and the maximum allowable steady-state tracking precision can only be guaranteed at some unknown (theoretically infinite) time, in this work the output of the system is ensured to synchronize with the desired trajectory with arbitrarily pre-assignable convergence rate and arbitrarily pre-specified precision within prescribed time, using output only with lower cost of sensing and communication. In addition, all the closed-loop signals are ensured to be globally uniformly bounded under the proposed control method. The merits of the designed control scheme are confirmed by numerical simulation on a ship model.
- Adaptive control,
- nonlinear systems,
- output feedback,
- prescribed performance

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References(37)

References

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For a class of uncertain nonlinear systems, the given control precision is achieved within a prescribed finite time
The burden of both the sensing and computation is largely reduced by designing the state filters and utilizing intermittent input signal
The initial condition restriction is removed by constructing a novel performance scaling function and an error transformation
Both the transient and steady-state performance of the output tracking error is guaranteed with some readily user-assignable parameters

Achieving Given Precision Within Prescribed Time yet With Guaranteed Transient Behavior via Output Based Event-Triggered Control

doi: 10.1109/JAS.2023.124134

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通讯作者: 陈斌, bchen63@163.com

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