Stabilization of Networked Control Systems Using a Mixed-Mode Based Switched Delay System Method

Qing-Kui Li; Xiaoli Li; Jiuhe Wang; Shengli Du

doi:10.1109/JAS.2018.7511228

Volume 5 Issue 6

Nov. 2018

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2018 > 5(6): 1089-1098

Qing-Kui Li, Xiaoli Li, Jiuhe Wang and Shengli Du, "Stabilization of Networked Control Systems Using a Mixed-Mode Based Switched Delay System Method," IEEE/CAA J. Autom. Sinica, vol. 5, no. 6, pp. 1089-1098, Nov. 2018. doi: 10.1109/JAS.2018.7511228

Citation:

Qing-Kui Li, Xiaoli Li, Jiuhe Wang and Shengli Du, "Stabilization of Networked Control Systems Using a Mixed-Mode Based Switched Delay System Method," IEEE/CAA J. Autom. Sinica, vol. 5, no. 6, pp. 1089-1098, Nov. 2018. doi: 10.1109/JAS.2018.7511228

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Stabilization of Networked Control Systems Using a Mixed-Mode Based Switched Delay System Method

doi: 10.1109/JAS.2018.7511228

Qing-Kui Li^{1
,
,},
Xiaoli Li^2
,,
Jiuhe Wang^1
,,
Shengli Du^2
,

1.
School of Automation, Beijing Information Science and Technology University, Beijing 100192, China
2.
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

Funds:

the National Natural Science Foundation of China 61573230

the National Natural Science Foundation of China 61473034

the National Natural Science Foundation of China 51777012

Beijing Nova Programme Interdisciplinary Cooperation Project Z161100004916041

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Author Bio:
Qing-Kui Li (M'15) received the B.S. degree from Shangdong Normal University, Jinan, China, in 1998, the M. E. degree from Liaoning Normal University, Dalian, China, in 2001, and the Ph.D. degree from Northeastern University, Shenyang, China, in 2009. From 2010 to 2012, he was a postdoctoral research fellow with the Centre of Intelligent and Network, Central Queensland University, Australia. He is currently an Associate Professor at the School of Automation, Beijing Information Science and Technology University. His research interests include switched systems, networked control systems, and supply chain systems.(email: sdlqk01@126.com)

Xiaoli Li received the Master degree in control theory and control engineering from Dalian University of Technology in 1997, and Ph.D. degree from Northeastern University in 2000. He is currently a Professor at Beijing University of Technology. His research interests include multiple model adaptive control and neural network control. (e-mail: lixiaolibjut@bjut.edu.cn)

Jiuhe Wang received the B.E. and Ph.D. degrees in 1982 and 2005 from the School of Electrical and Control from Liaoning Technical University and in the School of Information Engineering from University of Science and Technology Beijing, respectively. He is now a Professor with the School of Automation, Beijing Information Science and Technology University, Beijing, China. His research interests include nonlinear control of power electronic converter, power quality control, and microgrids.(email: wjhhrwm@163.com)

Shengli Du received the Ph.D. degree in control theory and control engineering from the Dalian University of Technology, China, in 2016. From July 2016 to March 2017, he worked as a Research Assistant in the Department of Electrical and Electronic Engineering, The University of Hong Kong, China. From March 2017 to August 2017, he worked as a Research Associate in the Department of Mathematics, City University of Hong Kong, China. He joined Beijing University of Technology in August 2017. His research interests include networked control systems, switched delay systems, and multi-agent systems. (e-mail: hoest100@126.com)
Corresponding author: Qing-Kui Liemail: sdlqk01@126.com
Received Date: 2018-04-13
Accepted Date: 2018-06-15

Abstract

Abstract

The phenomenon of mixed-mode is one of the most important characteristics of switched delay systems. If a networked control system (NCS) with network induced delays and packet dropouts (NIDs & PDs) is recast as a switched delay system, it is imperative to consider the effects of mixed-modes in the stability analysis for an NCS. In this paper, with the help of the interpolatory quadrature formula and the average dwell time method, stabilization of NCSs using a mixed-mode based switched delay system method is investigated based on a novel constructed Lyapunov-Krasovskii functional. With the Finsler's lemma, new exponential stabilizability conditions with less conservativeness are given for the NCS. Finally, an illustrative example is provided to verify the effectiveness of the developed results.
- Interpolatory quadrature formula,
- mixed-mode,
- networked control system (NCS),
- switched delay system

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References(46)

References

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Stabilization of Networked Control Systems Using a Mixed-Mode Based Switched Delay System Method

doi: 10.1109/JAS.2018.7511228

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