Robust filtering algorithm against hybrid-attacks and randomly occurring nonlinearities: Application to a quadrotor UAV

Zheng, Xiujuan; Wu, Huaiyu

doi:10.1016/j.dsp.2021.103159

Cited by 3 publications

(2 citation statements)

References 32 publications

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“…The strategy of ARSF is handled to actively relieve the effects caused by data injection attacks occurred in the communication network. The following state-space model is borrowed from [32].…”

Section: 1mentioning

confidence: 99%

“…Control scheme 32 261 267 Time-trigger scheme (TTS) 276 291 can reach the equilibrium state at 4.94s and subsystem 2 can reach the equilibrium state at 15s in [32] when the attacker attacks two channels, while subsystem 1 can be reached the equilibrium state at 1.97s and subsystem 2 can be reached the equilibrium state at 3.90s and by using the proposed adaptive robust H ∞ switching filtering method when the attacker attacks two channels. The results prove that the proposed adaptive robust H ∞ switching filtering method can make systems being attacked by data injection attacks be stable.…”

Section: Trigger Times Sensor Side Control Sidementioning

confidence: 99%

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Asynchronous event‐triggered adaptive robust switching filtering for nonlinear industrial cyber physical systems under data injection attacks

Qin,

Sun

2023

Intl J Robust & Nonlinear

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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‐Infinity 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 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 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.

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Section: 1mentioning

confidence: 99%

Section: Trigger Times Sensor Side Control Sidementioning

confidence: 99%

Asynchronous event‐triggered adaptive robust switching filtering for nonlinear industrial cyber physical systems under data injection attacks

Qin,

Sun

2023

Intl J Robust & Nonlinear

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A fast filtering method for digital signals of electronic measuring instruments in the laboratory based on Fourier transform

Guo,

Chen

2023

Multiscale and Multidiscip. Model. Exp. and Des.

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Multi-Layer Fault-Tolerant Robust Filter for Integrated Navigation in Launch Inertial Coordinate System

et al. 2022

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As to an aerospace vehicle, the flight span is large and the flight environment is complex. More than that, the existing navigation algorithms cannot meet the needs to provide accurate navigation parameters for aerospace vehicles, which results in the decline of navigation accuracy. This paper proposes a multi-layer, fault-tolerant robust filtering algorithm of aerospace vehicle in the launch inertial coordinate system to address this problem. Firstly, the launch inertial coordinate system is used as the reference coordinate system for navigation calculation, and the state equation and measurement equation of the navigation system are established in this coordinate system to improve the modeling accuracy of the navigation system. On this basis, a multi-layer, fault-tolerant robust filtering algorithm is designed to estimate and compensate the unknown input in the state equation in real time and adjust the noise variance matrix in the measurement equation adaptively. Simulation results show that the errors about the integrated navigation system output parameters are reduced, through this algorithm, which improves the attitude, velocity and position estimation accuracy of the integrated navigation system. In addition, the algorithm enhances the fault tolerance and robustness of the filtering algorithm.

show abstract

Robust filtering algorithm against hybrid-attacks and randomly occurring nonlinearities: Application to a quadrotor UAV

Cited by 3 publications

References 32 publications

Asynchronous event‐triggered adaptive robust switching filtering for nonlinear industrial cyber physical systems under data injection attacks

Asynchronous event‐triggered adaptive robust switching filtering for nonlinear industrial cyber physical systems under data injection attacks

A fast filtering method for digital signals of electronic measuring instruments in the laboratory based on Fourier transform

Multi-Layer Fault-Tolerant Robust Filter for Integrated Navigation in Launch Inertial Coordinate System

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