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    CHEN Zebin, YU Zhaoxu, LI Shugang. Event-Triggered Adaptive Control of Nonlinear Cyber-Physical Systems Under Network Attacks[J]. Journal of East China University of Science and Technology, 2024, 50(3): 411-417. DOI: 10.14135/j.cnki.1006-3080.20230518001
    Citation: CHEN Zebin, YU Zhaoxu, LI Shugang. Event-Triggered Adaptive Control of Nonlinear Cyber-Physical Systems Under Network Attacks[J]. Journal of East China University of Science and Technology, 2024, 50(3): 411-417. DOI: 10.14135/j.cnki.1006-3080.20230518001

    Event-Triggered Adaptive Control of Nonlinear Cyber-Physical Systems Under Network Attacks

    • The problem of adaptive output feedback control for a class of nonlinear Cyber-Physical Systems(CPSs) with unknown control direction under sensor and actuator attacks is studied. By implementing a suitable linear state transformation, the original system is transformed into a new system for facilitating the design of output feedback controller. Nussbaum gain function method is adopted to overcome the design difficulty resulted from unknown control coefficients and network attacks. Based on the state estimate and the attacked measurement output signal, a new event-triggered adaptive output-feedback control strategy is proposed by means of neural network approximation method. The proposed controller can not only achieve the semi-globally uniformly ultimately boundedness of the closed-loop system, but also greatly reduce the number of transmitted data. In addition, the "complexity explosion" problem in backstepping design can be overcome by means of the dynamic surface control (DSC) method based on a nonlinear filter. Finally, a robotic arm system is utilized to verify the effectiveness and practicality of the proposed control method.
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