Secure estimation for cyber‐physical systems with adversarial attacks and unknown inputs: An L2‐gain method

DOI10.1002/rnc.4007zbMath1390.93774OpenAlexW2772122654MaRDI QIDQ4644153

Guang-Hong Yang, Chun-Hua Xie

Publication date: 30 May 2018

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.4007

zbMATH Keywords

robustnessestimation\(L_2\)-gain rejection propertyattack resilient

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Estimation and detection in stochastic control theory (93E10) Linear systems in control theory (93C05) Large-scale systems (93A15)

Related Items

Approximate current state observability of discrete-time nonlinear systems under cyber-attacks ⋮ Three‐stage forgetting factor stochastic gradient parameter estimation methods for a class of nonlinear systems ⋮ Resilient control of cyber‐physical systems under sensor and actuator attacks driven by adaptive sliding mode observer ⋮ Secure Luenberger-like observers for cyber-physical systems under sparse actuator and sensor attacks ⋮ Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service ⋮ State estimation and event-triggered control for cyber-physical systems under malicious attack ⋮ Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks ⋮ Distributed filtering for nonlinear systems under false data injection attack ⋮ Minimum structural sensor placement for switched linear time-invariant systems and unknown inputs ⋮ Flow-based attack detection and accommodation for networked control systems

This page was built for publication: Secure estimation for cyber‐physical systems with adversarial attacks and unknown inputs: An L₂‐gain method