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机构地区:[1]Center for Control Theory and Guidance Technology,Harbin Institute of Technology,Harbin 150001,China [2]Center for Control Science and Technology,Southern University of Science and Technology,Shenzhen 518055,China
出 处:《Science China(Information Sciences)》2023年第9期46-59,共14页中国科学(信息科学)(英文版)
基 金:National Natural Science Foundation of China(Grant Nos.62173255,62188101);Shenzhen Key Laboratory of Control Theory and Intelligent Systems(Grant No.ZDSYS20220330161800001)。
摘 要:This research addresses the output tracking of networked high-order fully actuated(NHOFA)systems under random deception attacks in the sensor to networked controller(SNC)and networked controller to actuator(NCA)communication channels,where a Bernoulli process represents the launching success rate of random deception attacks.A successful attack involves the output and control signals being tampered with by the injection of false data.Herein,a predictive sliding-mode control scheme is proposed to achieve the security tracking.In this scheme,a sliding-mode variable is introduced to defend the random deception attacks by enhancing the robustness of closed-loop systems.An incremental HOFA(IHOFA)prediction model is developed using a Diophantine equation as an alternative to the traditional reduced-order prediction model.Through this IHOFA prediction model,the multistep ahead predictions of the sliding-mode variable are constructed to optimize the tracking performance and defense of random deception attacks.By utilizing the Lyapunov function and linear matrix inequality(LMI)approach,a sufficient and necessary condition is proposed to ensure stability and high tracking performance of closed-loop NHOFA systems.Herein,an experiment on the tracking control of an air-bearing spacecraft(ABS)simulator is performed to demonstrate the effectiveness and practicability of the predictive sliding-mode control scheme.
关 键 词:NHOFA systems random deception attacks predictive sliding-mode control stability and tracking performance tracking control of ABS simulator
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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