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Event-based control and filtering of networked systems: A survey

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Abstract

In recent years, theoretical and practical research on event-based communication strategies has gained considerable research attention due primarily to their irreplaceable superiority in resource-constrained systems (especially networked systems). For networked systems, event-based transmission scheme is capable of improving the efficiency in resource utilization and prolonging the lifetime of the network components compared with the widely adopted periodic transmission scheme. As such, it would be interesting to 1) examining how the event-triggering mechanisms affect the control or filtering performance for networked systems, and 2) develo** some suitable approaches for the controller and filter design problems. In this paper, a bibliographical review is presented on event-based control and filtering problems for various networked systems. First, the event-driven communication scheme is introduced in detail according to its engineering background, characteristic, and representative research frameworks. Then, different event-based control and filtering (or state estimation) problems are categorized and then discussed. Finally, we conclude the paper by outlining future research challenges for event-based networked systems.

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Authors and Affiliations

  1. College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, 266590, China

    Lei Zou, Zi-Dong Wang & Dong-Hua Zhou

  2. Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK

    Zi-Dong Wang

  3. Department of Automation, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Bei**g, 100084, China

    Dong-Hua Zhou

Authors
  1. Lei Zou
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  2. Zi-Dong Wang
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  3. Dong-Hua Zhou
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Correspondence to Zi-Dong Wang.

Additional information

This work was supported by National Natural Science Foundation of China (No. 61329301), the Royal Society of the UK, the Research Fund for the Taishan Scholar Project of Shandong Province of China, the China Postdoctoral Science Foundation (No. 2016M600547), and the Alexander von Humboldt Foundation of Germany.

Recommended by Editor-in-Chief Guo-** Liu

Lei Zou received the B. Sc. degree in automation from Bei**g Institute of Petrochemical Technology, China in 2008, the M. Sc. degree in control science and engineering from China University of Petroleum (Bei**g Campus), China in 2011, and the Ph.D. degree in control science and engineering from Harbin Institute of Technology, China in 2016. From October 2013 to October 2015, he was a visiting Ph.D. student with the Department of Computer Science, Brunel University London, UK. He is a very active reviewer for many international journals.

His research interests include nonlinear stochastic control and filtering, as well as networked control under various communication protocols.

ORCID iD: 0000-0002-0409-7941

Zi-Dong Wang received the B. Sc. degree in mathematics from Suzhou University, China in 1986, the M. Sc. degree in applied mathematics in 1990 and the Ph.D. degree in electrical engineering in 1994, both from Nan**g University of Science and Technology, China. He is currently a 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 UK. He has published more than 300 papers in refereed 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. He is a fellow of the IEEE. He is serving or has served as the editor-in-chief for Neurocomputing, 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-Systems. He is also a fellow of the Royal Statistical Society and a member of program committee for many international conferences.

He research interests include dynamical systems, signal processing, bioinformatics, control theory and applications.

ORCID iD: 0000-0002-9576-7401

Dong-Hua Zhou received the B. Eng., M. Sc., and Ph.D. degrees in electrical engineering from Shanghai Jiaotong University, China in 1985, 1988, and 1990, respectively. He was an Alexander von Humboldt research fellow with the University of Duisburg, Germany from 1995 to 1996, and a visiting scholar with Yale university, USA from 2001 to 2002. He joined Tsinghua University, China in 1997, and was a professor and the head of the Department of Automation, Tsinghua University, China from 2008 to 2015. He is now the vice president of Shandong University of Science and Technology, China. He has authored and coauthored over 140 peer-reviewed international journal papers and 6 monographs. He is a member of the IFAC Technical Committee on Fault Diagnosis and Safety of Technical Processes, a senior member of IEEE, an associate editor of the Journal of Process Control, the associate chairman of Chinese Association of Automation.

His research interests include fault diagnosis, fault-torrent control, process control, networked control and filtering, and reliable control.

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Zou, L., Wang, ZD. & Zhou, DH. Event-based control and filtering of networked systems: A survey. Int. J. Autom. Comput. 14, 239–253 (2017). https://doi.org/10.1007/s11633-017-1077-8

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