Event-triggered secure control of nonlinear multi-agent systems under sensor attacks |
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| Institution: | 1. College of Information Science and Engineering, Northeastern University, Shenyang 110189, China;2. College of Science, Liaoning University of Technology, Jinzhou, Liaoning 121001, China;1. State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China;2. China Telecom Research Institute, Shanghai, China;1. School of Automation, Nanjing University of Information Science and Technology, Nanjing, 210044, China;2. Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China;3. Jiangsu Province Engineering Research Center of Intelligent Meteorological Exploration Robot, Nanjing, 210044, China;1. State Key Laboratory of Automotive Simulation and Control, Jilin University, Renmin Street No.5988, Changchun, China;2. Intelligent Connected Vehicle Development Institute, China Faw Group Co., Ltd, China;1. Federal University of Minas Gerais, Graduate Program in Electrical Engineering, Av. Antonio Carlos, 6627, Belo Horizonte, MG 31270-901, Brazil;2. Federal University of Minas Gerais, Department of Electronics Engineering, Av. Antonio Carlos, 6627, Belo Horizonte, MG 31270-901, Brazil;3. Federal University of São João del-Rei, Department of Electrical Engineering, Praça Frei Orlando, 170, São João del-Rei, MG, Brazil;1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China;2. Artiflcial Intelligence Institute of Industrial Technology, Nanjing Institute of Technology, Nanjing 211167, China |
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| Abstract: | In this paper, a security consistent tracking control scheme with event-triggered strategy and sensor attacks is developed for a class of nonlinear multi-agent systems. For the sensor attacks on the system, a security measurement preselector and a state observer are introduced to combat the impact of the attacks and achieve secure state estimation. In addition, command filtering technology is introduced to overcome the “complexity explosion” caused by the use of the backstepping approach. Subsequently, a new dynamic event-triggered strategy is proposed, in which the triggering conditions are no longer constants but can be adjusted in real time according to the adaptive variables, so that the designed event-triggered mechanism has stronger online update ability. The measurement states are only transmitted through the network based on event-triggered conditions. The proposed adaptive backstepping algorithm not only ensures the security of the system under sensor attacks but also saves network resources and ensures the consistent tracking performance of multi-agent systems. The boundedness of all closed-loop signals is proved by Lyapunov stability analysis. Simulation examples show the effectiveness of the control scheme. |
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