Automotive Innovation ›› 2023, Vol. 6 ›› Issue (2): 164-175.doi: 10.1007/s42154-023-00228-1
Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber-Attacks in Intelligent Connected Vehicles
Juntao Pan1 · Anh-Tu Nguyen2,3 · Sujun Wang1 · Huifan Deng2,4 · Hui Zhang5
- 1 School of Electrical and Information Engineering, North Minzu University , Yinchuan 750021 , China
2 Université Polytechnique Hauts-de-France, CNRS, UMR 8201 – LAMIH, 59313 Valenciennes , France
3 INSA Hauts-de-France , 59313 Valenciennes , France
4 Department of Vehicle Engineering , Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China
5 School of Transportation Science and Engineering , Beihang University , Beijing 100191 , China
Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber-Attacks in Intelligent Connected Vehicles
Juntao Pan1 · Anh-Tu Nguyen2,3 · Sujun Wang1 · Huifan Deng2,4 · Hui Zhang5 #br#
- 1 School of Electrical and Information Engineering, North Minzu University , Yinchuan 750021 , China
2 Université Polytechnique Hauts-de-France, CNRS, UMR 8201 – LAMIH, 59313 Valenciennes , France
3 INSA Hauts-de-France , 59313 Valenciennes , France
4 Department of Vehicle Engineering , Nanjing University of Aeronautics and Astronautics , Nanjing 210016 , China
5 School of Transportation Science and Engineering , Beihang University , Beijing 100191 , China
摘要： The detection and mitigation of cyber-attacks in connected vehicle systems (CVSs) are critical for ensuring the security of
intelligent connected vehicles. This paper presents a solution to estimate sensor and actuator cyber-attacks in CVSs. A novel
method is proposed that utilizes an augmented system representation technique and a nonlinear unknown input observer
(UIO) to achieve asymptotic estimation of both CVS dynamics and cyber-attacks. The nonlinear CVS dynamics is represented
in a Takagi–Sugeno (TS) fuzzy form with nonlinear consequents, which allows for the effective use of the differential mean
value theorem to handle unmeasured premise variables. Furthermore, via Lyapunov stability theory sufficient conditions are
proposed, expressed in terms of linear matrix inequalities, to design TS fuzzy UIO. Several test scenarios are performed with
high-fidelity Simulink-CarSim co-simulations to show the effectiveness of the proposed cyber-attack estimation method.