Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input

Dong Zhao; Marios M. Polycarpou

doi:10.1109/JAS.2021.1004314

Volume 9 Issue 2

Feb. 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(2): 235-245

D. Zhao and M. M. Polycarpou, “Fault accommodation for a class of nonlinear uncertain systems with event-triggered input,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 235–245, Feb. 2022. doi: 10.1109/JAS.2021.1004314

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D. Zhao and M. M. Polycarpou, “Fault accommodation for a class of nonlinear uncertain systems with event-triggered input,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 2, pp. 235–245, Feb. 2022. doi: 10.1109/JAS.2021.1004314

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Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input

doi: 10.1109/JAS.2021.1004314

Dong Zhao^{1
,
,},
Marios M. Polycarpou^1
,

KIOS Research and Innovation Center of Excellence, and the Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 1678, Cyprus

Funds: This work was supported by the European Union’s Horizon 2020 research and innovation programme grant agreement No. 739551 (KIOS CoE)

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Author Bio:
Dong Zhao (Member, IEEE) received the B.S. degree in automation and the Ph.D. degree in control science and engineering from Beijing University of Chemical Technology in 2011 and 2016, respectively. From March 2017 to September 2018, he worked as a Postdoctoral Research Fellow with the Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Germany. Since October 2018, he joined KIOS Research and Innovation Center of Excellence at the University of Cyprus as a Postdoctoral Research Fellow. His research interests include fault diagnosis, fault-tolerant control, cyber-physical systems, nonlinear system control, and adaptive control

Marios Polycarpou (Fellow, IEEE) is a Professor of electrical and computer engineering and the Director of the KIOS Research and Innovation Center of Excellence at the University of Cyprus. He is also a Member of the Cyprus Academy of Sciences, Letters, and Arts, and an Honorary Professor of Imperial College London. He received the B.A degree in computer science and the B.Sc. degree in electrical engineering, both from Rice University, USA, in 1987, and the M.S. and Ph.D. degrees in electrical engineering from the University of Southern California, in 1989 and 1992, respectively. His teaching and research interests are in intelligent systems and networks, adaptive and learning control systems, fault diagnosis, machine learning, and critical infrastructure systems. Dr. Polycarpou has published more than 350 articles in refereed journals, edited books and refereed conference proceedings, and co-authored 7 books. He is also the holder of 6 patents. Prof. Polycarpou received the 2016 IEEE Neural Networks Pioneer Award. He is a Fellow of IEEE and IFAC and the recipient of the 2014 Best Paper Award for the journal Building and Environment (Elsevier). He served as the President of the IEEE Computational Intelligence Society (2012–2013), as the President of the European Control Association (2017–2019), and as the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems (2004–2010). Prof. Polycarpou serves on the Editorial Boards of the Proceedings of the IEEE, the Annual Reviews in Control, and the Foundations and Trends in Systems and Control. His research work has been funded by several agencies and industry in Europe and the United States, including the prestigious European Research Council (ERC) Advanced Grant, the ERC Synergy Grant and the EU Teaming project
Corresponding author: Dong Zhao, e-mail: zhao.dong@ucy.ac.cy
Received Date: 2021-06-04
Revised Date: 2021-07-26
Accepted Date: 2021-08-19

Available Online: 2021-09-17

Abstract

Abstract

The event-triggered fault accommodation problem for a class of nonlinear uncertain systems is considered in this paper. The control signal transmission from the controller to the system is determined by an event-triggering scheme with relative and constant triggering thresholds. Considering the event-induced control input error and system fault threat, a novel event-triggered active fault accommodation scheme is designed, which consists of an event-triggered nominal controller for the time period before detecting the occurrence of faults and an adaptive approximation based event-triggered fault accommodation scheme for handling the unknown faults after detecting the occurrence of faults. The closed-loop stability and inter-event time of the proposed fault accommodation scheme are rigorously analyzed. Special cases for the fault accommodation design under constant triggering threshold are also derived. An example is employed to illustrate the effectiveness of the proposed fault accommodation scheme.
- Adaptive control,
- event-triggered control,
- fault accommodation,
- neural networks,
- nonlinear systems

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References(36)

References

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Highlights

Event-induced signal discrepancy for fault accommodation design is explicitly quantified
Adaptive approximation based fault accommodation design under event-triggered control effort implementation is proposed, where the time periods before fault occurrence, after fault detection, and within the fault occurrence and detection are all considered
Explicit upper bounds on the tracking error are derived for the event-triggered fault accommodation system before and after the detection of system fault
Relative and constant event-triggering threshold influence on fault accommodation controller structure design and implementation are investigated

Fault Accommodation for a Class of Nonlinear Uncertain Systems With Event-Triggered Input

doi: 10.1109/JAS.2021.1004314

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通讯作者: 陈斌, bchen63@163.com

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