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Resilient control of double-integrator stochastic multi-agent systems under denial-of-service attacks
Institution:1. Department of Mathematics, Guizhou University, Guiyang, Guizhou 550025, PR China;2. Key Laboratory of High Performance Computing and Stochastic Information Processing (Ministry of Education of China), CHP-LCOCS, School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China;1. School of Science, Chongqing University of Technology, Chongqing 400054, PR China;2. School of Mathematics Science, University of Electronic Science and Technology of China, Chengdu 611731, PR China;3. School of Science, Hunan Institute of Technology, Hengyang 421002, PR China;1. Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, Florianópolis, Brazil;2. Université Grenoble Alpes, CNRS, Grenoble INP (Institute of Engineering, Univ. Grenoble Alpes), GIPSA-Lab, Grenoble 38000, France;3. Université de Lorraine, CNRS, CRAN, Nancy F-54000, France;1. School of Mathematics and Statistics, Fuzhou University, Fuzhou 350116, Fujian, P.R. China;2. Key Laboratory of Operations Research and Control of Universities in Fujian, Fuzhou University, Fuzhou 350116, Fujian, P.R. China;3. Department of Mathematics and Statistics, University of Strathclyde, Glasgow G1 1XH, UK
Abstract:The resilient control problem of double-integrator stochastic multi-agent systems under denial-of-service (DoS) attack is studied in this paper. We neutralize the effects of DoS attacks by introducing a hidden layer that has no physical significance. Compared with previous works, this method requires less computation, does not require a high degree of connectivity of communication topology, and does not need to know any information about attacks, such as attack frequency and attack duration. It is proved that the introduction of hidden layer will not affect the consensus of the original system and can improve its robustness. Besides, we also verify the effectiveness of event-triggered mechanism for systems with the hidden layer.
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