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第26届中国控制与决策会议

作者： Yu Zhiheng Peng Jun Liu Weirong Qin Yufu Yi Jiandui School of Information Science and Engineering Central South University Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha

ISBN: (纸本)9781479937097

In this paper, we consider the problems of fault detection for heavy-haul trains equipped with electronically controlled pneumatic（ECP） brake systems. A longitudinal dynamical model which has been successfully validated is used to simulate the actual situation. Based on the model, a set of unknown input observers which are adopted to estimate locomotives’ state is constructed, and observers can determine the existence and place of the faulty locomotive. Since heavy-haul trains are much longer than general passenger trains, the longitudinal dynamical model is decomposed into smaller subsystems which can be detected locally. To estimate the fault parameter after a failure occurred, a minimal extremum seeking algorithm was presented for adaptive approximation. Simulation results provide evidence of the effectiveness of the proposed fault detection scheme.

关键词： Fault detection unknown input observers Extremum seeking Electronically controlled pneumatic brake systems

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Fuzzy unknown input Observer for Estimating Sensor and Actuator Cyber‑Attacks in Intelligent Connected Vehicles

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Automotive Innovation 2023年第2期6卷 164-175页

作者： Juntao Pan Anh‑Tu Nguyen Sujun Wang Huifan Deng Hui Zhang School of Electrical and Information Engineering North Minzu UniversityYinchuan 750021China UniversitéPolytechnique Hauts-de-France CNRSUMR 8201–LAMIH59313 ValenciennesFrance INSA Hauts-de-France 59313 ValenciennesFrance Department of Vehicle Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China School of Transportation Science and Engineering Beihang UniversityBeijing 100191China

The detection and mitigation of cyber-attacks in connected vehicle systems(CVSs)are critical for ensuring the security of intelligent connected *** 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 *** 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 ***,via Lyapunov stability theory sufficient conditions are proposed,expressed in terms of linear matrix inequalities,to design TS fuzzy *** test scenarios are performed with high-fidelity Simulink-CarSim co-simulations to show the effectiveness of the proposed cyber-attack estimation method.

关键词： Connected vehicle systems Cyber-attacks unknown input observers Vehicle dynamics estimation Takagi-Sugeno fuzzy models

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Distributed Fault Detection for Consensus in Second-Order Discrete-Time Multiagent Systems with Adversary

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Journal of Donghua University(English Edition) 2014年第4期31卷 418-422页

作者：权悦彭力吴志海刘全胜 Laboratory for Advanced Process Control of Light Industry of the Ministry of Education School of Internet of Things EngineeringJiangnan University School of Mathematics and Information Engineering Anhui Science and Technology University

This paper is concerned with distributed fault detection of second-order discrete-time multi-agent systems with adversary,where the adversary is regarded as a slowly time-varying ***,a novel intrusion detection scheme based on the theory of unknown input observability( UIO) is proposed. By constructing a bank of UIO,the states of the malicious agents can be directly estimated. Secondly,the faulty-node-removal algorithm is *** are also provided to demonstrate the effectiveness of the theoretical results.

关键词： second-order discrete-time multi-agent systems distributed detection and identification slowly time-varying signals unknown input observers

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