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INTERNATIONAL JOURNAL OF

SYSTEMS SCIENCE

SPECIAL ISSUE CALL FOR PAPERS

PERFORMANCE ANALYSIS AND SYNTHESIS OF

INDUSTRIAL CYBER-PHYSICAL SYSTEMS

Guest Editors

Derui Ding (University of Shanghai for Science and Technology), Xiaohua Ge (Swinburne University of Technology) & Qing-Long Han (Swinburne University of Technology)

Summary and Scope
As a core of the so-called fourth industrial revolution, cyber-physical systems (CPSs) have received ever-increasing research attention in recent years. CPS is a highly integrated system of physical components involving sensors, actuators, and various equipment, as well as cyber, possessing ubiquitous computation and efficient communication. Representative CPSs include, but are not limited to, transportation networks, energy systems, water/gas distribution networks, multiple industrial robots, as well as unmanned factories. It should be pointed out that the tight coordination of cyber and physical elements results in the merits of greater autonomy, efficiency, functionality, reliability, and adaptability.


It is worth pointing out that, for real-world engineering, the limited channel bandwidth and the security vulnerability of channels may result in various network-induced phenomena and the unreliability of exchanged data, such as data missing, communication delays, denial of service attacks, deception attacks and so on. Furthermore, communication scheduling among different physical components may lead to the sparsity of received data while reducing the occurrence of communication congestion. They are usually regarded as crucial sources of the negative effects that affect the dynamical behavior and the precision of control and filtering. As such, performance analysis and synthesis of industrial CPSs have been attracting ever-increasing research interest.


Research on CPSs under communication scheduling and cyber-attacks has already become vitally important for control engineers, mathematicians, and computer scientists to analyze and interpret the complex dynamical behavior of industrial CPSs, and effectively implement various engineering tasks. This Special Issue aims to bring the latest techniques to understand, estimate, and control industrial CPSs under communication protocols and cyber-attacks in a quantitative evaluation. The list of possible topics includes, but is not limited to:

 

  • Distributed control and filtering of industrial CPSs with various communication scheduling

  • Security control and filtering of industrial CPSs subject to cyber-attacks

  • Distributed filtering of sensor networks with various communication scheduling

  • Distributed filtering of sensor networks subject to cyber-attacks  

  • Consensus control of multi-agent systems with various communication scheduling 

  • Consensus control of multi-agent systems subject to cyber-attacks

  • State estimation of complex networks with various communication scheduling

  • State estimation of complex networks subject to cyber-attacks


Submission Guidelines
Authors should prepare their manuscripts according to the "Instructions for Authors" guidelines of International Journal of Systems Science outlined at the journal website. All papers will be peer-reviewed following a regular reviewing procedure. Each submission should clearly demonstrate evidence of benefits to society or large communities. Originality and impact on society, in combination with a media-related focus and innovative technical aspects of the proposed solutions will be the major evaluation criteria.

During the submission process, please do the following:

  • On Step 1 select"Special Issue" as the article type.

  • On Step 6 select "Industrial CPS" when asked which special issue your manuscript is for.


Important Dates

  • Submission Deadline:            30 October 2020

  • First Review Decision:            30 December 2020

  • Revisions Due:                        28 February 2021  

  • Final Manuscript:                    30 April 2021

  • Expected publication date:   01 July 2021
     

Guest Editors

Professor Derui Ding
Department of Control Science and Engineering
University of Shanghai for Science and Technology
Shanghai 200093, P. R. China
Email: deruiding2010@usst.edu.cn
 

Short Bio:  

Professor Derui Ding received both the B.Sc. degree in Industry Engineering in 2004 and the M.Sc. degree in Detection Technology and Automation Equipment in 2007 from Anhui Polytechnic University, Wuhu, China, and the Ph.D. degree in Control Theory and Control Engineering in 2014 from Donghua University, Shanghai, China.


He is currently a professor in the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China. From July 2007 to December 2014, he was a teaching assistant and then a lecturer in the Department of Mathematics, Anhui Polytechnic University, Wuhu, China; From June 2012 to September 2012, he was a research assistant in the Department of Mechanical Engineering, the University of Hong Kong, Hong Kong; From March 2013 to March 2014, he was a visiting scholar in the Department of Information Systems and Computing, Brunel University London, UK; From January 2015 to June 2019, he was an associate professor in the Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China; From June 2015 to August 2015, he was a research assistant in the Department of Mathematics, City University of Hong Kong, Hong Kong.


His research interests include nonlinear stochastic control and filtering, as well as multi-agent systems and sensor networks. Since 2012, he published 93 fully-refereed papers in prestigious international journals and 20 papers in national and international conferences. He is a Highly Cited Researcher in Engineering (2019) according to Clarivate Analytics (formerly Thomson Reuters). He is a Senior Member of the Institute of Electrical and Electronic Engineers (IEEE), and is serving as an Associate Editor for Neurocomputing and IET Control Theory and Applications


Publications:    

  1. Derui Ding, Qing-Long Han, Zidong Wang, and Xiaohua Ge, Distributed recursive filtering of cyber-physical systems with security defenses, IEEE Transactions on Systems, Man and Cybernetics-Systems, DOI: 10.1109/TSMC.2019. 2960541. 

  2. Derui Ding, Zidong Wang, and Qing-Long Han, Neural-network-based consensus control for multi-agent systems with input constraints: The event-triggered case, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB.2019.2927471.

  3. Derui Ding, Zidong Wang, and Qing-Long Han, A scalable algorithm for event-triggered state estimation with unknown parameters and switching topologies over sensor networks, IEEE Transactions on Cybernetics, DOI:10.1109/TCYB. 2019.2917543.

  4. Derui Ding, Zidong Wang, and Qing-Long Han, A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks, IEEE Transactions on Automatic Control, vol. 65, no. 4, pp. 1792-1799, Apr. 2020.

  5. Derui Ding, Zidong Wang, and Qing-Long Han, Neural-network-based output-feedback control with stochastic communication protocols, Automatica, vol. 106, pp. 221-229, Aug. 2019.

  6. Derui Ding, Zidong Wang, Qing-Long Han, and Guoliang Wei, Neural-network-based output-feedback control under Round-Robin scheduling protocols, IEEE Transactions on Cybernetics, vol. 49, no. 6, pp. 2372-2384, Jun. 2019.

  7. Derui Ding, Qing-Long Han, Zidong Wang, and Xiaohua Ge, A survey on model-based distributed control and filtering for industrial cyber-physical systems, IEEE Transactions on Industrial Informatics, vol. 15, no. 5, pp. 2483-2499, May 2019.

  8. Derui Ding, Zidong Wang, Qing-Long Han, and Guoliang Wei, Security control for discrete-time stochastic nonlinear systems subject to deception attacks, IEEE Transactions on Systems, Man and Cybernetics-Systems, vol. 48, no. 5, pp. 779-789, May 2018.

  9. Derui Ding, Zidong Wang, Daniel W. C. Ho, and Guoliang Wei, Observer-based event-triggering consensus control for multiagent systems with lossy sensors and cyber attacks, IEEE Transactions on Cybernetics, vol. 47, no. 8, pp. 1936-1947, Jul. 2017.

  10. Derui Ding, Zidong Wang, Daniel W. C. Ho, and Guoliang Wei, Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks, Automatica, vol. 78, pp. 231-240, Apr. 2017.

  11. Derui Ding, Zidong Wang, Bo Shen, and Guoliang Wei, Event-triggered consensus control for discrete-time stochastic multi-agent systems: The input-to-state stability in probability, Automatica, vol. 62, pp. 284-291, Dec. 2015.

  12. Derui Ding, Zidong Wang, James Lam, and Bo Shen, Finite-horizon H-infinity control for discrete time-varying systems with randomly occurring nonlinearities and fading measurements, IEEE Transactions on Automatic Control, vol. 60, no. 9, pp. 2488-2491, Sep. 2015.

  13. Derui Ding, Zidong Wang, Bo Shen, and Hongli Dong, Envelope-constrained H-infinity filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case, Automatica, vol. 55, pp. 37-45, May 2015.

  14. Derui Ding, Zidong Wang, Bo Shen, and Hongli Dong, H-infinity state estimation with fading measurements, randomly varying nonlinearities and probabilistic distributed delays, International Journal of Robust and Nonlinear Control, vol. 25, no. 13, pp. 2180-2195, Jul. 2015.

  15. Derui Ding, Zidong Wang, Bo Shen, and Huisheng Shu, State-saturated H-infinity filtering with randomly occurring nonlinearities and packet dropouts: the finite-horizon case, International Journal of Robust and Nonlinear Control, vol. 23, no. 16, pp. 1803-1821, Nov. 2013.

  16. Derui Ding, Zidong Wang, Jun Hu, and  Huisheng Shu, Dissipative control for state-saturated discrete time-varying systems with randomly occurring nonlinearities and missing measurements, International Journal of Control, vol. 86, no. 4, pp. 674-688, Apr. 2013.

  17. Derui Ding, Zidong Wang, Hongli Dong, and Huisheng Shu, Distributed H-infinity state estimation with stochastic parameters and nonlinearities through sensor networks: the finite-horizon case, Automatica, vol. 48, no. 8, pp. 1575-1585, Aug. 2012.

  18. Derui Ding, Zidong Wang, Bo Shen, and Huisheng Shu, H-infinity state estimation for discrete-time complex networks with randomly occurring sensor saturations and randomly varying sensor delays, IEEE Transactions on Neural Networks and Learning Systems, vol. 23, no. 5, pp. 725-736, May 2012.

  19. Wei Chen, Derui Ding*, Hongli Dong, Guoliang Wei, and Xiaohua Ge, Finite-horizon H-infinity bipartite consensus control of cooperation-competition multiagent systems with round-robin protocols, IEEE Transactions on Cybernetics, DOI: 10.1109/TCYB. 2020.2977468.

  20. Jingyang Mao, Derui Ding*, Hongli Dong, and Xiaohua Ge, Event-based distributed adaptive Kalman filtering with unknown covariance of process noises, IEEE Transactions on Systems, Man and Cybernetics-Systems, DOI: 10.1109/TSMC. 2019.2960050.

  21. Wei Chen, Derui Ding*, Xiaohua Ge, Qing-Long Han, and Guoliang Wei,  H-infinity containment control of multi-agent systems under event-triggered communication scheduling: The finite-horizon case, IEEE Transactions on Cybernetics, vol. 50, no. 4, pp. 1372-1382, Apr. 2020.

  22. Ying Sun, Derui Ding*, Hongli Dong, and Guoliang Wei, Resilient l2-l-infinity filtering with dwell-time-based communication scheduling, Nonlinear Analysis: Hybrid Systems, vol. 37, Art no. 100901, 2020.

  23. Wei Chen, Derui Ding*, Hongli Dong, and Guoliang Wei, Distributed resilient filtering for power systems subject to denial-of-service attacks, IEEE Transactions on Systems, Man and Cybernetics-Systems, vol. 49, no. 8, pp. 1688-1697, Aug. 2019.

  24. Jinhua Song, Derui Ding*, Hongjian Liu, and Xueli Wang, Non-fragile distributed state estimation over sensor networks subject to DoS attacks: The almost sure stability, International Journal of Systems Science, vol. 51, no. 6, pp. 1119-1132, Apr. 2020.

  25. Haifang Song, Derui Ding*, Hongli Dong, Qing-Long Han, and Guoliang Wei, Distributed entropy filtering subjected to DoS attacks in non-Gauss environments, International Journal of Robust and Nonlinear Control, vol. 30, no. 3, pp. 1240-1257, Feb. 2020.

  26. Meiling Xie, Derui Ding*, Hongli Dong, Qing-Long Han, and Guoliang Wei, Reliable fusion estimation over sensor networks with outliers and energy constraints, International Journal of Robust and Nonlinear Control, vol. 29, no. 17, pp. 5913-5929, Nov. 2019.

  27. Jingyang Mao, Derui Ding*, Guoliang Wei, and Hongjian Liu, Networked recursive filtering for time-delayed nonlinear stochastic systems with uniform quantization under Round-Robin protocol, International Journal of Systems Science, vol. 50, no. 4, pp. 871-884, 2019.

  28. Wei Chen, Derui Ding*, Guoliang Wei, Sunjie Zhang, and Yurong Li, Event-based containment control for multi-agent systems with packet dropouts, International Journal of Systems Science, vol. 49, no. 12, pp. 2658-2669, 2018.

  29. Guoliang Wei, Linlin Liu, Licheng Wang, and Derui Ding, Event-triggered control for discrete-time systems with unknown nonlinearities: An interval observer-based approach, International Journal of Systems Science, vol. 51, no. 6, pp. 1019-1031, Apr. 2020.

  30. Yamei Ju, Guoliang Wei, Derui Ding, and Sunjie Zhang, Fault detection for discrete time-delay networked systems with Round-Robin protocol in finite-frequency domain, International Journal of Systems Science, vol. 50, no. 13, pp. 2497-2509, Oct. 2019.

Dr. Xiaohua Ge
School of Software and Electrical Engineering
Swinburne University of Technology
Melbourne, VIC 3122, Australia
Email: xge@swin.edu.au

Short Bio:    

Dr. Xiaohua Ge received the B.Eng. degree in Electronics and Information Engineering from Nanchang Hangkong University, Nanchang, China, in 2008, the M.Eng. degree in Control Theory and Control Engineering from Hangzhou Dianzi University, Hangzhou, China, in 2011, and the Ph.D. degree in Computer Engineering from Central Queensland University, Rockhampton, QLD, Australia, in 2014. 


Dr. Ge is currently a Senior Lecturer with the School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, VIC, Australia. From 2015 to 2017, he was a Research Fellow with the Griffith School of Engineering, Griffith University, Gold Coast, QLD, Australia. In 2014, he was Research Fellow with the Centre for Intelligent and Networked Systems (currently, Centre for Intelligent Systems), Central Queensland University, Rockhampton, QLD, Australia. From 2011 to 2013, he was a Research Assistant with the Centre for Intelligent and Networked Systems (currently, Centre for Intelligent Systems), Central Queensland University. 


His current research interests include distributed estimation over sensor networks, distributed coordination in multi-agent systems, security and privacy preserving in cyber-physical systems. Since 2014, he published 49 fully-refereed papers in prestigious international journals including 25 IEEE Transactions. He is a Highly Cited Researcher in Cross-Field (2019) according to Clarivate Analytics (formerly Thomson Reuters). He is a Member of the Institute of Electrical and Electronic Engineers (IEEE), the IEEE Industrial Electronics Society, and the IEEE Control Systems Society. He has served as a Guest Editor for IEEE Transactions on Systems, Man, and Cybernetics: Systems, Information Sciences, Neurocomputing, and Kybernetika. 


Publications:    

  1. S. Xiao, X. Ge, Q.-L. Han, and Y. Zhang, Distributed resilient estimator design for positive systems under topological attacks, IEEE Transactions on Cybernetics  (2020), DOI: 10.1109/TCYB.2020.2981646

  2. L. Chang, Q.-L. Han, X. Ge, C. Zhang, and X. Zhang, On designing distributed prescribed finite-time observers for strict-feedback nonlinear systems, IEEE Transactions on Cybernetics (2019), DOI: 10.1109/TCYB.2019. 2951067

  3. E. Mousavinejad, X. Ge, Q.-L. Han, F. Yang, and L. Vlacic, Resilient tracking control of networked control systems under cyber attacks, IEEE Transactions on Cybernetics (2019), DOI: 10.1109/TCYB.2019.2948427

  4. E. Mousavinejad, F. Yang, Q.-L. Han, X. Ge, and L. Vlacic, Distributed cyber attack detection and recovery mechanism for vehicle platooning, IEEE Transactions on Intelligent Transportation Systems (2019), DOI: 10.1109/TITS.2019.2934481

  5. S. Xiao, X. Ge, Q.-L. Han, Z. Cao, and Y. Zhang, Distributed guaranteed two-target tracking over heterogeneous sensor networks under bounded noises and adversarial attacks, Information Sciences, vol. 535, pp. 187-203, Oct. 2020.

  6. X.-M. Zhang, Q.-L. Han, X. Ge, and L. Ding, Resilient control design based on a sampled-data model for a class of networked control systems under denial-of-service attacks, IEEE Transactions on Cybernetics, vol. 50, no. 8, pp. 3616-3626, Aug. 2020.

  7. X. Ge, Q.-L. Han, X.-M. Zhang, L. Ding, and F. Yang, Distributed event-triggered estimation over sensor networks: A survey, IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1306-1320, Mar. 2020.

  8. S. Xiao, Q.-L. Han, X. Ge, and Y. Zhang, Secure distributed finite-time filtering for positive systems over sensor networks under deception attacks, IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1220-1229, Mar. 2020.

  9. X. Ge, Q.-L. Han, X.-M. Zhang, D. Ding, and F. Yang, Resilient and secure remote monitoring of a class of cyber-physical systems against attacks, Information Sciences, vol. 512, pp. 1592-1605, Feb. 2020.

  10. H. Yang, Q.-L. Han, X. Ge, L. Ding, Y. Xu, B. Jiang, and D. Zhou, Fault tolerant cooperative control of multi-agent systems: A survey of trends and methodologies, IEEE Transactions on Industrial Informatics, vol. 16, no. 1, pp. 4-17, Jan. 2020.

  11. X.-M. Zhang, Q.-L. Han, X. Ge, D. Ding, L. Ding, D. Yue, and C. Peng, Networked control systems: A survey of trends and techniques, IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 1, pp. 1-17, Jan. 2020.

  12. X. Ge, Q.-L. Han, M. Zhong, and X.-M. Zhang, Distributed Krein space-based attack detection over sensor networks under deception attacks, Automatica, vol. 109, art. no. 108557, Nov. 2019.

  13. X. Ge, Q.-L. Han, and Z. Wang, A threshold-parameter-dependent approach to designing distributed event-triggered H∞ consensus filters over sensor networks, IEEE Transactions on Cybernetics, vol. 49, no. 4, pp. 1148-1159, Apr. 2019.

  14. X. Ge, Q.-L. Han, and Z. Wang, A dynamic event-triggered transmission scheme for distributed set-membership estimation over wireless sensor networks, IEEE Transactions on Cybernetics, vol. 49, no. 1, pp. 171-183, Jan. 2019.

  15. Z. Zuo, Q.-L. Han, B. Ning, X. Ge, and X.-M. Zhang, An overview of recent advances in fixed-time cooperative control of multi-agent systems, IEEE Transactions on Industrial Informatics, vol. 14, no. 6, pp. 2322-2334, Jun. 2018.

  16. L. Ding, Q.-L. Han, X. Ge, and X.-M. Zhang, An overview of recent advances in event-triggered consensus of multi-agent systems, IEEE Transactions on Cybernetics, vol. 48, no. 4, pp. 1110-1123, Apr. 2018.

  17. X. Ge, Q.-L. Han, and X.-M. Zhang, Achieving cluster formation of multi-agent systems under aperiodic sampling and communication delays, IEEE Transactions on Industrial Electronics, vol. 65, no. 4, pp. 3417-3426, Apr. 2018.

  18. Y. Guan and X. Ge, Distributed attack detection and secure estimation of networked cyber-physical systems against false data injection attacks and jamming attacks, IEEE Transactions on Signal and Information Processing over Networks, vol. 4, no. 1, pp. 48-59, Mar. 2018.

  19. X. Ge, Q.-L. Han, D. Ding, X.-M. Zhang, and B. Ning, A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems, Neurocomputing, vol. 275, pp. 1684-1701, Jan. 2018.

  20. X. Ge and Q.-L. Han, Distributed formation control of networked multi-agent systems using a dynamic event-triggered communication mechanism, IEEE Transactions on Industrial Electronics, vol. 64, no. 10, pp. 8118-8127, Oct. 2017.

  21. X. Ge and Q.-L. Han, Consensus of multiagent systems subject to partially accessible and overlapping Markovian network topologies, IEEE Transactions on Cybernetics, vol. 47, no. 8, pp. 1807-1819, Aug. 2017.

  22. X. Ge, Q.-L. Han and F. Yang, Event-based set-membership leader-following consensus of networked multi-agent systems subject to limited communication resources and unknown-but-bounded noise, IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5045-5054, Jun. 2017.

  23. X. Ge, F. Yang and Q.-L. Han, Distributed networked control systems: A brief overview, Information Sciences, vol. 380, pp. 117-131, Feb. 2017.

  24. X. Ge and Q.-L. Han, Distributed sampled-data asynchronous H∞ filtering of Markovian jump linear systems over sensor networks, Signal Processing, vol. 127, pp. 86-89, Feb. 2016.

  25. X. Ge, Q.-L. Han and X. Jiang, Distributed H∞ filtering over sensor networks with heterogeneous Markovian coupling intercommunication delays, IET Control Theory & Applications, vol. 9, no. 1, pp. 82-90, Jan. 2015. 

  26. X. Ge and Q.-L. Han, Distributed event-triggered H∞ filtering over sensor networks with communication delays, Information Sciences, vol. 291, pp. 128-142, Jan. 2015. 

Distinguished Professor Qing-Long Han, PhD, FIEEE, FIEAust
Pro Vice-Chancellor (Research Quality)
Swinburne University of Technology
Melbourne, VIC 3122, Australia
Email: qhan@swin.edu.au

Short Bio:  

Professor Qing-Long Han is a leading researcher at the international level in the areas of control and signal processing, networked systems (networking), robotics and mechatronics, diagnosis and monitoring, multi-agent systems, and smart grids. Since 2001, he has published two hundred and ninety-nine (299) fully-refereed high quality journal articles including thirty-six (36) articles in Automatica, twenty-two (22) articles in IEEE Transactions on Automatic Control, fifty (50) articles in IEEE Transactions on Cybernetics (No. 1 in the JCR® category of 63 journals in AUTOMATION & CONTROL SYSTEMS), twelve (12) articles in IEEE Transactions on Industrial Informatics, and seventy-four (74) articles in the other most prestigious IEEE Transactions. He has also published one hundred and eighty-one (181) leading conference papers, five (5) monographs, one (1) research-based book chapter, and edited four (4) conference proceedings and six (6) special issues. 

 

As of 28 July 2020, Professor Han’s research work has been cited 26382 times with h-index of 89, i10-index of 260 according to Google Scholar. Guide2Research team released the 6th Edition of its 2020 Ranking of Top 1000 Scientists in the field of Computer Science and Electronics on May 20, 2020. Professor Han has been ranked in the top 5 researchers in Australia (http://www.guide2research.com/scientists/AU). This ranking is based in the h-index metric provided by Google Scholar and DBLP. Furthermore, his research work has been cited 21553 times with h-index of 80 according to SCOPUS, and 18440 times with h-index of 75 according to Clarivate Analytics Web of Science Core Collection.


Professor Han is a Fellow of The Institute of Electrical and Electronic Engineers and a Fellow of The Institution of Engineers Australia. He is a Highly Cited Researcher by Clarivate Analytics (Thomson Reuters). He is one of Australia’s Top 5 Lifetime Achievers (Stars of Research) in Engineering and Computer Science in The Australian’s 2019 Research Magazine. He received the 2019 IEEE Systems, Man, and Cybernetics Society Andrew P. Sage Best Transactions Paper Award. 


Professor Han has served as an Associate Editor for 12 international journals including IEEE Transactions on Industrial Electronics, IEEE Transactions on Industrial Informatics, IEEE Industrial Electronics Magazine, IEEE Transactions on Cybernetics, Control Engineering Practice, Information Sciences, and a Guest Editor for 10 Special Issues.


Professor Han has served as an AdCom Member of IEEE Industrial Electronics Society (IES), a Member of IEEE IES Fellows Committee.  


Publications:    

  1. B. Ning, Q.-L. Han, and Z. Zuo, Bipartite consensus tracking for second-order multi-agent systems: A time-varying function based preset-time approach, IEEE Transactions on Automatic Control, 2020, DOI: 10.1109/TAC. 2020. 3008125. 

  2. M. Wang, Z. Wang, H. Dong, and Q.-L. Han, A novel framework for backstepping-based control of discrete-time strict-feedback nonlinear systems with multiplicative noises, IEEE Transactions on Automatic Control, 2020, DOI: 10.1109/TAC.2020.2995576. 

  3. G. Lin, S. Wen, Q.-L. Han, J. Zhang, and Y. Xiang, Software vulnerability detection using deep neural networks: A survey, Proceedings of the IEEE, 2020, DOI: 10.1109/JPROC.2020.2993293.

  4. W. He, F. Qian, Q.-L. Han, and G. Chen, Almost sure stability of nonlinear systems under randomly impulsively sequential attacks, IEEE Transactions on Automatic Control, 2020, DOI: 10.1109/TAC.2020.2972220.

  5. D. Zhao, Z. Wang, G. Wei, and Q.-L. Han, A dynamic event-triggered approach to observer-based PID security control subject to deception attacks, Automatica, vol. 120, art. no. 109128, October 2020.

  6. P. Gong, W. Lan, and Q.-L. Han, Robust adaptive fault-tolerant consensus control for uncertain nonlinear fractional-order multi-agent systems with directed topologies, Automatica, 117, 109011, Jul. 2020. 

  7. H. Wang, Q.-L. Han, J. Liu, and D. He, Discrete-time filter proportional-integral-derivative controller design for linear time-invariant systems, Automatica, vol. 116, 108918, Jun. 2020.

  8. B. Du, Q.-L. Han, S. Xu, F. Yang, and Z. Shu, On joint design of intentionally introduced delay and controller gain for stabilization of 2nd -order oscillatory systems, Automatica, vol. 116, 108915, Jun. 2020. 

  9. D. Ding, Z. Wang, and Q.-L. Han, A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks, IEEE Transactions on Automatic Control, vol. 65, no. 4, pp. 1792-1799, Apr. 2020. 

  10. Q. Liu, Z. Wang, Q.-L. Han, and C. Jiang, Quadratic estimation for discrete time-varying non-Gaussian systems with multiplicative noises and quantization effects, Automatica, vol. 113, article 108714, Mar. 2020. 

  11. L. Zou, Z. Wang, Q.-L. Han, and D. Zhou, Moving horizon estimation for networked time-delay systems under Round-Robin protocol, IEEE Transactions on Automatic Control, vol. 64, no. 12, pp. 5191-5198, Dec. 2019. 

  12. X. Ge, Q.-L. Han, M. Zhong, and Z.-M. Zhang, Distributed Krein space-based attack detection over sensor networks under deception attacks, Automatica, vol. 109, Article 108557, Nov. 2019.

  13. V. Lechappe, E. Moulay, F. Plestan, and Q.-L. Han, Discrete predictor-based event-triggered control of networked control systems, Automatica, vol. 107, pp. 281-288, Sep. 2019. 

  14. D. Ding, Z. Wang, and Q.-L. Han, Neural-network-based output-feedback control with stochastic communication protocols, Automatica, vol. 106, pp. 221-229, Aug. 2019. 

  15. B. Ning, Q.-L. Han, and Z. Zuo, Practical fixed-time consensus and formation control for integrator-type multi-agent systems: A time base generator approach, Automatica, vol. 105, pp. 406-414, Jul. 2019. 

  16. W. Zhang, Q.-L. Han, Y. Tang, and Y. Liu, Sampled-data control for a class of linear time-varying systems, Automatica, vol. 103, pp. 126-134, May 2019. 

  17. B. Ning and Q.-L. Han, Prescribed finite-time consensus tracking for multi-agent systems with nonholonomic chained-form dynamics, IEEE Transactions on Automatic Control, vol. 64, no. 4, pp. 1686-1693, Apr. 2019. 

  18. Y. Chen, Z. Wang, S. Fei, and Q.-L. Han, Regional stabilization for discrete time-delay systems with actuator saturations via a delay-dependent polytopic approach, IEEE Transactions on Automatic Control, vol. 64, no. 3, pp. 1257-1264, Mar. 2019. 

  19. L. Zou, Z. Wang, Q.-L. Han, and D. Zhou, Recursive filtering for time-varying systems with random access protocol, IEEE Transactions on Automatic Control, vol. 64, no. 2, pp. 720-727, Feb. 2019. 

  20. L. Ma, Z. Wang, Q.-L. Han, Y. Liu, Dissipative control for nonlinear Markovian jump systems with actuator failures and mixed time-delays, Automatica, vol. 98, pp. 358-362, Dec. 2018. 

  21. L. Ma, Z. Wang, Q.-L. Han, H. K. Lam, Envelope-constrained H-infinity filtering for nonlinear systems with quantization effects: The finite horizon case, Automatica, vol. 93, pp. 527-534, Jul. 2018. 

  22. Y.-L. Wang and Q.-L. Han, Network-based modelling and dynamic output feedback control for unmanned marine vehicles in network environments, Automatica, vol. 91, pp. 43-53, May 2018. 

  23. L. Hu, Z. Wang, Q.-L. Han, and X. Liu, State estimation under false data injection attacks: security analysis and system protection, Automatica, vol. 87, pp. 176-183, Jan. 2018. 

  24. L. Zou, Z. Wang, Q.-L. Han, and D. Zhou, Ultimate boundedness control for networked systems with try-once-discard protocol and uniform quantization effects, IEEE Transactions on Automatic Control, vol. 62, no. 12, pp. 6582-6588, Dec. 2017. 

  25. X.-M. Zhang, Q.-L. Han, A. Seuret, and F. Gouaisbaut, An improved reciprocally convex inequality and an augmented Lyapunov-Krasovskii functional for stability of linear systems with time-varying delay, Automatica, vol. 84, pp. 221-226, Oct. 2017. 

  26. S. Zhu, Q.-L. Han, and C. Zhang, L1-stochastic stability and L1-gain performance of positive Markov jump linear systems with time-delays: necessary and sufficient conditions, IEEE Transactions on Automatic Control, vol. 62, no. 7, pp. 3634-3639, Jul. 2017. 

  27. W. He, F. Qian, J. Lam, G. Chen, Q.-L. Han, and J. Kurths, Quasi-synchronization of heterogeneous dynamic networks via distributed impulsive control: error estimation, optimization and design, Automatica, vol. 62, pp. 249-262, Dec. 2015.

  28. X.-M. Zhang and Q.-L. Han, Abel lemma-based finite-sum inequality and its application to stability analysis for linear discrete time-delay systems, Automatica, vol. 57, pp. 199-202, Jul. 2015. 

  29. X.-M. Zhang and Q.-L. Han, Event-based H-infinity filtering for sampled-data systems, Automatica, vol. 51, no. 1, pp. 55 – 69, Jan. 2015.

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