Event‐Triggered Distributed Resilient State Estimator for Nonlinear Cyber‐Physical Systems Under Hybrid Cyberattacks DOI Open Access
Zhenwei Wu, Langwen Zhang

International Journal of Adaptive Control and Signal Processing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT This article investigates the problem of event‐triggered distributed resilient state estimator (ET‐DRSE) for nonlinear cyber‐physical systems (NCPSs) under hybrid cyberattacks. A stochastic model cyberattacks is constructed by considering both false data injection (FDI) and Denial‐of‐Service (DoS) attacks. By proposing an mechanism, network burden reduced decreasing transmission rate measurement information. To improve flexibility, a detector‐based framework derived. Coupled Riccati‐like difference equations (CRDEs) are proposed to obtain upper bound (UB) estimation error covariance (EEC) every subsystem. An gain designed minimize UB upon recursively solving CRDEs. It proved that probabilistically bounded through application random analytic theory. Finally, performance ET‐DRSE verified numerical example chemical process example.

Language: Английский

CSoS-STRE: A combat system-of-system space-time resilience enhancement framework DOI
Renjie Xu,

Guoyu Ning,

Jiahao Liu

et al.

Frontiers of Engineering Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

1
A robust multi-objective optimization model for grid-scale design of sustainable cropping patterns: A case study DOI Creative Commons
Nima Taheri, Mir Saman Pishvaee, Hamed Jahani

et al.

Computers & Industrial Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 110772 - 110772

Published: Dec. 1, 2024

Language: Английский

Citations

0
Event‐Triggered Distributed Resilient State Estimator for Nonlinear Cyber‐Physical Systems Under Hybrid Cyberattacks DOI Open Access
Zhenwei Wu, Langwen Zhang

International Journal of Adaptive Control and Signal Processing, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT This article investigates the problem of event‐triggered distributed resilient state estimator (ET‐DRSE) for nonlinear cyber‐physical systems (NCPSs) under hybrid cyberattacks. A stochastic model cyberattacks is constructed by considering both false data injection (FDI) and Denial‐of‐Service (DoS) attacks. By proposing an mechanism, network burden reduced decreasing transmission rate measurement information. To improve flexibility, a detector‐based framework derived. Coupled Riccati‐like difference equations (CRDEs) are proposed to obtain upper bound (UB) estimation error covariance (EEC) every subsystem. An gain designed minimize UB upon recursively solving CRDEs. It proved that probabilistically bounded through application random analytic theory. Finally, performance ET‐DRSE verified numerical example chemical process example.

Language: Английский

Citations

0