Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

Yuhan Zhang; Zidong Wang; Lei Zou; Yun Chen; Guoping Lu

doi:10.1109/JAS.2024.124314

IEEE/CAA Journal of Automatica Sinica

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Y. Zhang, Z. Wang, L. Zou, Y. Chen, and G. Lu, “Ultimately bounded output feedback control for networked nonlinear systems with unreliable communication channel: A buffer-aided strategy,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 7, pp. 1–13, Jul. 2024. doi: 10.1109/JAS.2024.124314

Citation:

Y. Zhang, Z. Wang, L. Zou, Y. Chen, and G. Lu, “Ultimately bounded output feedback control for networked nonlinear systems with unreliable communication channel: A buffer-aided strategy,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 7, pp. 1–13, Jul. 2024. doi: 10.1109/JAS.2024.124314

Citation:

Y. Zhang, Z. Wang, L. Zou, Y. Chen, and G. Lu, “Ultimately bounded output feedback control for networked nonlinear systems with unreliable communication channel: A buffer-aided strategy,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 7, pp. 1–13, Jul. 2024. doi: 10.1109/JAS.2024.124314

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Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

doi: 10.1109/JAS.2024.124314

Funds: This work was supported in part by the National Natural Science Foundation of China (61933007, 62273087, U22A2044, 61973102, 62073180), the Shanghai Pujiang Program of China (22PJ1400400), and the Royal Society of the UK, and the Alexander von Humboldt Foundation of Germany

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Author Bio:
Yuhan Zhang received the B.Eng. degree in electronic information science and technology from the Shandong University of Science and Technology, in 2016, and the M.Sc. degree in marketing from the University of Nottingham, UK, in 2017. She is currently pursuing the Ph.D. degree in control science and engineering from Shandong University of Science and Technology.Her current research interests include the control and filtering of networked systems, reinforcement learning, and neural networks.She is a very active Reviewer for many international journals

Zidong Wang (Fellow, IEEE) received the B.Sc. degree in mathematics in 1986 from Suzhou University, and the M.Sc. degree in applied mathematics in 1990 and the Ph.D. degree in electrical engineering in 1994, both from Nanjing University of Science and Technology. He is currently Professor of dynamical systems and computing in the Department of Computer Science, Brunel University London, UK. From 1990 to 2002, he held teaching and research appointments in universities in China, Germany and the UK. Prof. Wang’s research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published a number of papers in international journals. He is a holder of the Alexander von Humboldt Research Fellowship of Germany, the JSPS Research Fellowship of Japan, William Mong Visiting Research Fellowship of Hong Kong, China. Prof. Wang serves (or has served) as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, the Editor-in-Chief for Systems Science and Control Engineering, and an Associate Editor for 12 international journals including IEEE Transactions on Automatic Control, IEEE Transactions on Control Systems Technology, IEEE Transactions on Neural Networks, IEEE Transactions on Signal Processing, and IEEE Transactions on Systems, Man, and Cybernetics-Part C. He is a Member of the Academia Europaea, a Member of the European Academy of Sciences and Arts, an Academician of the International Academy for Systems and Cybernetic Sciences, a Fellow of the IEEE, a Fellow of the Royal Statistical Society and a member of program committee for many international conferences

Lei Zou (Senior Member, IEEE) received the Ph.D degree in control science and engineering in 2016 from Harbin Institute of Technology.He is currently a Professor with the College of Information Science and Technology, Donghua University. From October 2013 to October 2015, he was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, U.K. His research interests include control and filtering of networked systems, moving-horizon estimation, state estimation subject to outliers, and secure state estimation.Prof. Zou serves (or has served) as an Associate Editor for IEEE/CAA Journal of Automatica Sinica, Neurocomputing, International Journal of Systems Science, and International Journal of Control, Automation and Systems, a Senior Member of IEEE, a Senior Member of Chinese Association of Automation, a Regular Reviewer of Mathematical Reviews, and a very active Reviewer for many international journals

Yun Chen received the B.E. degree in thermal engineering in 1999 from Central South University of Technology (Central South University), and the M.E. degree in engineering thermal physics in 2002, and the Ph.D. degree in control science and engineering in 2008, both from Zhejiang University.From August 2009 to August 2010, he was a Visiting Fellow with the School of Computing, Engineering and Mathematics, University of Western Sydney, Australia. From December 2016 to December 2017, he was an Academic Visitor with the Department of Mathematics, Brunel University London, UK. In 2002, he joined Hangzhou Dianzi University, where he is currently a Professor. His research interests include stochastic and hybrid systems, robust control and filtering

Guoping Lu received the B.S. degree from the Department of Applied Mathematics, Chengdu University of Science and Technology, in 1984, and the M.S. and Ph.D. degrees in applied mathematics from the Department of Mathematics, East China Normal University, in 1989 and 1998, respectively.He is currently a Professor with the School of Electrical Engineering, Nantong University. His current research interests include singular systems, multiagent systems, networked control, and nonlinear signal processing
Corresponding author: Zidong Wang, e-mail: Zidong.Wang@brunel.ac.uk
Received Date: 2023-10-17
Revised Date: 2023-11-26
Accepted Date: 2024-02-04

Available Online: 2024-04-16

Abstract

Abstract

This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication constraints. These transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear dynamics. Through the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observer-based controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.
- Buffer-aided strategy,
- neural networks,
- nonlinear control,
- output-feedback control,
- unreliable communication channel

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Ultimately Bounded Output Feedback Control for Networked Nonlinear Systems With Unreliable Communication Channel: A Buffer-Aided Strategy

doi: 10.1109/JAS.2024.124314

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