Event-triggered secure consensus for MASs based on a multi-sensor multi-rate sampling mechanism |
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| Institution: | 1. School of Mathematical Sciences, Shanxi University, Taiyuan 030006, PR China;2. School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, PR China;1. School of Automation, China University of Geosciences, Wuhan 430074, China;2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China;3. Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China;1. School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China;2. College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;1. MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha 410081, China;2. Key Laboratory of Applied Statistics and Data Science, Hunan Normal University, College of Hunan Province, Changsha 410081, China;1. Northwestern Polytechnical University, School of Automation, 1 Dongxianglu, Xi''an 710129, China;2. Key Lab of Information Fusion Technology (Ministry of Education);1. School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252059, PR China;2. Institute of Automation, Qufu Normal University, Qufu 273165, PR China |
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| Abstract: | This paper is concerned with event-triggered secure consensus for a class of linear multi-agent systems (MASs) under denial-of-service (DoS) attacks. Different from some existing methods, a multi-sensor multi-rate (MSMR) sampling mechanism is introduced to sample system states of agents. A class of multi-rate observer is devised to deal with some problems involved, such as the asynchrony and the incompleteness of several state sub-vectors, caused by the MSMR sampling mechanism. By using the partially updated state information of each agent, a novel multi-rate event-triggered mechanism is proposed, in which the continuous monitoring of the combined measurement information is avoided. Then, an event-based distributed secure consensus control protocol is presented against DoS attacks for the MAS under a directed communication topology. By taking into account the information on the duration and frequency of the DoS attacks, a sufficient condition is established to design suitable control protocols such that consensus can be achieved. Finally, a numerical example is provided to show the effectiveness of the proposed method. |
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