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Articles

Adaptive event-triggered control of discrete-time networked systems against randomly occurring infinite distributed delays, random packet losses and sensor saturation

ORCID Icon, , , &
Pages 2200-2215 | Received 05 Sep 2017, Accepted 21 Jul 2019, Published online: 05 Aug 2019
 

Abstract

The saturation input control problem of discrete-time networked systems via adaptive event-triggered communication scheme is discussed in this paper. The criteria are derived by utilising a new Lyapunov functional to guarantee that the considered networked system with randomly occurring infinite distributed delays, random packet losses and sensor saturation is exponentially stable in mean square sense. A novel adaptive event-triggered law is proposed, which is dependent on the exponentially stable index α. The effectiveness of our proposed method is illustrated by both theoretical analysis and numerical simulations.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Natural Science Foundation of China (NSFC) 61374086, the Natural Science Foundation of Jiangsu Province (Grant Nos. BK20140770, BK20131097).

Notes on contributors

He Zhang

He Zhang received the B.S. degree in statistics in 2012. The M.S. degree was received in Operational Research and Cybernetics in 2015. Both from the School of Science of the Chongqing University of Technology, China. He is now a candidate Ph.D. of the School of Automation of Nanjing University of Science and Technology, China. From 2015 to 2017, he was a lecturer with Baise University. His current research interests include networked control systems, neural networks, distributed parameter systems.

Jianfeng Zhu

Jianfeng Zhu is currently an associate professor at the school of management of Yangtze University, Chongqing, China. He received the M.S. degree in enterprise management from the School of Management of Xiamen University, China, in 2004, and a Ph.D. degree in enterprise management from the School of Business Administration of Northeastern University, China, in 2014. His current research interests are in innovation management and model analysis fields.

Junwei Lu

Junwei Lu received the B.Eng. degree and M.Tech. degree from the Nanjing University of Aeronautics and Astronautics in 2001, and Nanjing University of Science and Technology in 2008, respectively. From 1993 to 2000, she was a faculty in the Nanjing Power College. Since 2000, she has held a faculty position in the College of Electrical and Electronic Engineering at the Nanjing Normal University. Her current research interests include robust filtering and control, time-delay systems and nonlinear systems.

Yunliang Wei

Yunliang Wei received the Ph.D. degree in Control Science and Engineering from Nanjing University of Science and Technology, China in 2015. From January 2013 to July 2014, he was a visiting scholar in the School of Computing, Engineering and Mathematics at the University of Western Sydney. Since July 2015, he has joined the School of Mathematical Sciences, Qufu Normal University, where he is currently a lecturer. His current research interests include hybrid systems, nonlinear systems, input saturation, robust control and anti-windup design.

Yuming Chu

Yuming Chu was born in June 3, 1966, Huzhou, Zhejiang, China. He received the B.Sc. degree from the Hangzhou Normal University, Hangzhou, China, in 1988, an M.Sc. degree and a Ph.D. degree from the Hunan University, Changsha, China, in 1991 and 1994, respectively. He worked as an Assistant Professor from 1994 to 1996 and as an Associate Professor from 1997 to 2002 at the Department of Mathematics, Hunan Normal University, Changsha, China. Since 2002, he has been a Professor and Dean in the Department of Mathematics at Huzhou Teachers College, Huzhou, China. Dr. Chu's current research interests include robust filtering and control, special function, quasiconformal mapping and complex dynamic systems.

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