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Event-triggered control for uncertain stochastic systems under triple network attacks
Institution:1. School of Science, Shenyang Jianzhu University, Shenyang, 110168, China;2. School of Mechanical Engineering, Shenyang Jianzhu University, Shenyang, 110168, China;3. Systems Engineering Institute, South China University of Technology, Guangzhou, 510640, China;1. Department of Aerospace Engineering, Sharif University of Technology, Tehran, Iran;2. Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy;1. MOE-LCSM, School of Mathematics and Statistics, Hunan Normal University, Changsha, 410081, Hunan, China;2. The Key Laboratory of Control and Optimization of Complex Systems, College of Hunan Province, Hunan Normal University, Changsha, 410081, China;1. School of Mathematical Science, Heilongjiang University, Harbin 150080, PR China;2. Heilongjiang Provincial Key Laboratory of the Theory and Computation of Complex Systems, Heilongjiang University, Harbin 150080, PR 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. Department of Mathematics, Faculty of Sciences, University of Zagreb, Zagreb, Croatia;2. LARIAT – Laboratory for Intelligent Autonomous Systems & RIT Croatia, Dubrovnik, Croatia;3. Department of Mathematics, J. J. Strossmayer University of Osijek, Osijek, Croatia;4. LARIAT – Laboratory for Intelligent Autonomous Systems, University of Dubrovnik, Croatia;1. Department of Electrical and Computer Engineering, University of Kashan, Iran;2. Electrical and Electronic Engineering Department, Shahed University, Tehran, Iran
Abstract:This paper studies the control problem of uncertain stochastic systems, which takes into account the impact of network attacks. The types of network attacks considered are denial-of-service (DoS) attacks, deception attacks and replay attacks. In order to save network resources and improve communication utilization, the static event-triggered mechanism and adaptive event-triggered mechanism are cited respectively. Firstly, a new Lyapunov-Krasovskii functional is constructed, employing improved Wirtinger-based integral inequality and Jensens inequality, the criteria on stochastic stability in the mean square for uncertain stochastic systems are proposed. Secondly, the design methods of static event-triggered controller and adaptive event-triggered controller are given respectively. Finally, a practical example is given to manifest the effectiveness of the theoretical results.
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