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Event-triggered Fusion Estimation for Nonlinear Stochastic System with Unknown Parameters and Transmission Fading Over Sensor Networks

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  • Control Theory and Applications
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Abstract

This paper investigates an event-triggered fusion estimation problem for a class of discrete-time nonlinear stochastic systems with unknown parameters and transmission fading over sensor networks (SNs). The system with unknown and bounded parameters is considered in this paper, which is more practical compared with traditional systems. The fading of local estimation information will occur during the remote transmission. Therefore, the objective of this paper is to design a new fusion method based on unknown parameters and faded local estimation information. With the help of Lyapunov-type analysis approaches and quadratic cost function, sufficient conditions are established to ensure the input-to-state stability (ISS) of the dynamics of estimation errors and obtain the bound of estimation errors in the mean square sense. Finally, an appropriate fusion estimation method is proposed to estimate both unknown parameters and system states. At last, an illustrative simulation is utilized to verify the feasibility of the proposed design scheme.

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Author information

Authors and Affiliations

  1. College of Science, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Yeming Shi & Guoliang Wei

  2. Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

    Derui Ding

Authors
  1. Yeming Shi
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  2. Guoliang Wei
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  3. Derui Ding
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Corresponding author

Correspondence to Guoliang Wei.

Additional information

This work was supported in part by the National Natural Science Foundation of China under Grant 61873169.

Yeming Shi received his B.Sc. degree in mathematics and applied mathematics from Hefei Normal University, Hefei, China, in 2017. He is currently pursuing an M.Sc. degree from College of Science, University of Shanghai for Science and Technology, Shanghai, China. His research interests include nonlinear systems, fusion estimation, as well as sensor networks.

Guoliang Wei received his B.Sc. degree in mathematics from Henan Normal University, Xinxiang, China, in 1997 and an M.Sc. degree in applied mathematics and a Ph.D. degree in control engineering, both from Donghua University, Shanghai, China, in 2005 and 2008, respectively. He is currently a Professor with the the College of Science, University of Shanghai for Science and Technology, Shanghai. From 2010 to 2011, he was an Alexander von Humboldt Research Fellow with the Institute for Automatic Control and Complex Systems, University of Duisburg-Essen, Duisburg, Germany. From 2009 to 2010, he was a Post-Doctoral Research Fellow with the Department of Information Systems and Computing, Brunel University London, Uxbridge, U.K., sponsored by the Leverhulme Trust of the U.K. He was a Research Assistant with the University of Hong Kong, Hong Kong, for two months, in 2007 and with the City University of Hong Kong, Hong Kong, for two months, in 2008. He has published over 50 papers in refereed international journals. His current research interests include nonlinear systems, stochastic systems, and bioinformatics. He is a very active reviewer for many international journals.

Derui Ding received his B.Sc. degree in industry engineering and an M.Sc. degree in detection technology and automation equipment from Anhui Polytechnic University, Wuhu, China, in 2004 and 2007, respectively, and a Ph.D. degree in control theory and control engineering from Donghua University, Shanghai, China, in 2014. From July 2007 to December 2014, he was a Teaching Assistant and then a Lecturer with the Department of Mathematics, Anhui Polytechnic University. He is currently a Senior Research Fellow with the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia. From June 2012 to September 2012, he was a Research Assistant with the Department of Mechanical Engineering, University of Hong Kong, Hong Kong. From March 2013 to March 2014, he was a Visiting Scholar with the Department of Information Systems and Computing, Brunel University London, Uxbridge, U.K. He has published around 40 papers in refereed international journals. His research interests include nonlinear stochastic control and filtering, as well as multi-agent systems and sensor networks. He is serving as an Associate Editor for Neurocomputing and IET Control Theory & Application. He is also a very active reviewer for many international journals.

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Shi, Y., Wei, G. & Ding, D. Event-triggered Fusion Estimation for Nonlinear Stochastic System with Unknown Parameters and Transmission Fading Over Sensor Networks. Int. J. Control Autom. Syst. 20, 1405–1417 (2022). https://doi.org/10.1007/s12555-020-0756-3

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  • DOI: https://doi.org/10.1007/s12555-020-0756-3

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