Document Zbl 1533.93495

Asynchronous event-triggered adaptive robust switching filtering for nonlinear industrial cyber physical systems under data injection attacks. (English) Zbl 1533.93495

Int. J. Robust Nonlinear Control 34, No. 5, 3142-3166 (2024).

Summary: By fully taking the effects of data injection attacks and nonlinear disturbances into consideration, based on dynamic asynchronous event-triggered approach, an adaptive robust \(H_{\infty}\) switching filtering (ARSF) method is proposed for the stability of industrial cyber physical systems. An adaptive feedback controller utilizing anticipated states and error-dependent parameters can proficiently counteract the deleterious impacts of data injection attacks originating from the measurement channel. Furthermore, a \(H_{\infty}\) filter, which includes the value of the measurement signal, is designed to monitor the system’s state changes in real-time and ensure the stable operation of the system under attacks. Based on the design of an adaptive feedback controller and a \(H_{\infty}\) filter eliminating the effects of data injection attacks originating from the measurement channel, a switching scheme is further proposed for compensating the effect of data injection attacks in the control channel. Finally, simulation tests are conducted by using MATLAB to control the robustness of a practical quadrotor UAV system’s angles by adopting ARSF, whose results verify that the correctness and effectiveness of the proposed ARSF.
© 2023 John Wiley & Sons Ltd.

MSC:

93C65	Discrete event control/observation systems
93C40	Adaptive control/observation systems
93B36	\(H^\infty\)-control
93E11	Filtering in stochastic control theory
93C10	Nonlinear systems in control theory
93B70	Networked control
93C83	Control/observation systems involving computers (process control, etc.)

Keywords:

adaptive feedback controller; data injection attacks; asynchronous event-triggered strategy; \(H_{\infty}\); nonlinear industrial cyber physical systems; robust \(H_{\infty}\); switching laws

Software:

Matlab

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References:

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