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- W4384303987 abstract "This paper presents a secure interval estimation method for nonlinear cyber-physical systems (CPSs) suffering from adversary stealthy attacks. A dynamic event-triggered scheme (DETS) is deployed in the estimation framework to reduce the unnecessary waste of limited communication resources. Considering the cases of system information fully/partially known by adversary, a state estimator is constructed based on the event-triggered system output contained by adversary. A linear parameter-varying-based (LPV-based) technique is adopted to transform the augmented error dynamic with nonlinearities into an LPV form. With considering the property of stealthy attacks, the amplitude-boundedness of attack signal is deduced, based on which a coordinated design criterion of DETS and observer is presented such that the augmented error dynamic is input-to-state stable with a prescribed <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink><tex-math notation=LaTeX>$ell _{infty }$</tex-math></inline-formula> performance. Then, a zonotope-based secure interval estimation algorithm is designed with considering the uncertainties induced by process disturbance, measurement noise, nonlinearities, DETS protocol, as well as malicious attacks. Finally, simulation results on a vehicle lateral dynamic system show the effectiveness and resilience of the proposed interval estimation method." @default.
- W4384303987 created "2023-07-15" @default.
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- W4384303987 date "2023-01-01" @default.
- W4384303987 modified "2023-10-18" @default.
- W4384303987 title "Secure Interval Estimation for Event-Triggered Cyber-Physical Systems Under Stealthy Attacks" @default.
- W4384303987 doi "https://doi.org/10.1109/tcns.2023.3295345" @default.
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