Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems With the Denial-of-Service Attacks and Stochastic Communication Protocol

Hang Geng; Zidong Wang; Yun Chen; Xiaojian Yi; Yuhua Cheng

doi:10.1109/JAS.2022.105623

Volume 9 Issue 6

Jun. 2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation > IEEE/CAA Journal of Automatica Sinica > 2022 > 9(6): 978-989

H. Geng, Z. D. Wang, Y. Chen, X. J. Yi, and Y. H. Cheng, “Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 978–989, Jun. 2022. doi: 10.1109/JAS.2022.105623

Citation:

H. Geng, Z. D. Wang, Y. Chen, X. J. Yi, and Y. H. Cheng, “Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 978–989, Jun. 2022. doi: 10.1109/JAS.2022.105623

Citation:

H. Geng, Z. D. Wang, Y. Chen, X. J. Yi, and Y. H. Cheng, “Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 6, pp. 978–989, Jun. 2022. doi: 10.1109/JAS.2022.105623

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Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems With the Denial-of-Service Attacks and Stochastic Communication Protocol

doi: 10.1109/JAS.2022.105623

Hang Geng^1
,,
Zidong Wang^{2, 3
,
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Yun Chen^4
,,
Xiaojian Yi^5
,,
Yuhua Cheng^1
,

1.
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2.
College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China
3.
Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, United Kingdom
4.
Key Laboratory for IoT and Information Fusion Technology of Zhejiang, School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China
5.
School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China

Funds: This work was supported in part by the National Natural Science Foundation of China (62173068, 61803074, 61703245, 61973102, U2030205, 61903065, 61671109, U1830207, U1830133), the China Postdoctoral Science Foundation (2018M643441, 2017M623005), the Royal Society of UK, and the Alexander von Humboldt Foundation of Germany

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Author Bio:
Hang Geng (Member, IEEE) received the B.Sc. degree in electronic information engineering in 2011 from Civil Aviation Flight University of China, the M.Sc. degree in electrical engineering and the Ph.D. degree in control science and engineering in 2014 and 2017, respectively, from Northwestern Poly-technical University. He is currently an Associate Professor at the School of Automation Engineering, University of Electronic Science and Technology of China. He was a visiting Ph.D. candidate (2015−2016) and a Research Fellow (2019−2022) with the Department of Computer Science, Brunel University London, UK. From 2018 to 2019, he was a Post-Doctoral Fellow with the Department of Mechanical Engineering, University of Kansas, USA. His research interests include information fusion, fault diagnosis, and state estimation. Dr. Geng is currently serving as an Associate Editor for CMES-Computer Modeling in Engineering & Sciences, a Senior Member of China Instrument and Control Society, a Member of Chinese Association of Automation, and a very active Reviewer for many international journals

Zidong Wang (Fellow, IEEE) received the B.Sc. degree in mathematics in 1986 from Soochow 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 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. His research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 600 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 & 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

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 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

Xiaojian Yi received the B.S. degree in control technology from the North University of China, in 2010, and the M.S. and Ph.D. degrees in reliability engineering from Beijing Institute of Technology, in 2012 and 2016, respectively. During 2015−2016, he was a jointly trained Ph.D. student with the University of Ottawa, Canada, to study robot reliability and maintenance. From 2016 to 2020, he was an Associate Professor with China North Vehicle Research Institute. He is currently an Associate Professor with Beijing Institute of Technology. He is the author of two books and more than 100 articles, and is also the holder of eight patents. His research interests include system reliability analysis, intelligent control, fault diagnosis, and health management

Yuhua Cheng (Sinior Member, IEEE) received the Ph.D. degree in instrumentation science and technology in 2007 from Sichuan University. He is currently a Professor of instrument science and technology at the School of Automation Engineering, University of Electronic Science and Technology of China. From 2013 to 2014, he was a Guest Researcher at the University of Toronto, Canada. His research interests include electronic instrumentation, imaging/sensing for nondestructive evaluation, intelligent prognostics and health management of complex systems, and numerical modeling and simulation. Prof. Cheng is currently serving as an Associate Editor for Neurocomput-ing and IEEE Transactions on Instrumentation and Measurement, and a very active Reviewer for many international journals
Corresponding author: Zidong Wang, e-mail: Zidong.Wang@brunel.ac.uk
Received Date: 2022-01-18
Revised Date: 2022-02-23
Accepted Date: 2022-03-11

Available Online: 2022-04-10

Abstract

Abstract

In this paper, a new filtering fusion problem is studied for nonlinear cyber-physical systems under error-variance constraints and denial-of-service attacks. To prevent data collision and reduce communication cost, the stochastic communication protocol is adopted in the sensor-to-filter channels to regulate the transmission order of sensors. Each sensor is allowed to enter the network according to the transmission priority decided by a set of independent and identically-distributed random variables. From the defenders’ view, the occurrence of the denial-of-service attack is governed by the randomly Bernoulli-distributed sequence. At the local filtering stage, a set of variance-constrained local filters are designed where the upper bounds (on the filtering error covariances) are first acquired and later minimized by appropriately designing filter parameters. At the fusion stage, all local estimates and error covariances are combined to develop a variance-constrained fusion estimator under the federated fusion rule. Furthermore, the performance of the fusion estimator is examined by studying the boundedness of the fused error covariance. A simulation example is finally presented to demonstrate the effectiveness of the proposed fusion estimator.
- Cyber-physical system (CPS),
- denial-of-service attack,
- stochastic communication protocol (SCP),
- variance-constrained filtering fusion

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References

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A new filtering fusion problem is studied for nonlinear cyber-physical systems
Error-variance constraints and denial-of-service attacks are investigated
A fusion estimator is proposed under the federated fusion rule
The performance of the fusion estimator is examined
Simulation is presented to illustrate the proposed fusion estimato

Variance-Constrained Filtering Fusion for Nonlinear Cyber-Physical Systems With the Denial-of-Service Attacks and Stochastic Communication Protocol

doi: 10.1109/JAS.2022.105623

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