Towards quantifying the impact of randomly occurred attacks on a class of networked control systems

DOI10.1016/j.jfranklin.2017.05.016zbMath1367.93726OpenAlexW2614571499MaRDI QIDQ2011880

Lei Guo, Yuan Yuan, Hongjiu Yang, Peng Zhang

Publication date: 27 July 2017

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.05.016

zbMATH Keywords

convex optimizationnetworked control systems\(\epsilon\)-Nash equilibriumcyber and physical attacksdelta operator approachmulti-tasking optimal control strategy

Mathematics Subject Classification ID

Convex programming (90C25) Stochastic network models in operations research (90B15) Optimal stochastic control (93E20) Computer system organization (68M99)

Related Items (9)

Periodic event-triggered resilient control for cyber-physical systems under denial-of-service attacks ⋮ Design of sampled-data controllers for the synchronization of complex dynamical networks under controller attacks ⋮ Intermittent control for synchronization of discrete-delayed complex cyber-physical networks under mixed attacks ⋮ Resilient strategy design for cyber-physical system under DoS attack over a multi-channel framework ⋮ Modularized design for cooperative control of cyber-physical systems with disturbances and general cooperative targets ⋮ Switching resilient control scheme for cyber-physical systems against DoS attacks ⋮ Resilient strategy design for cyber-physical system under active eavesdropping attack ⋮ A stealthy artificial noise strategy against eavesdropping for remote estimation sensor networks ⋮ Secure control of cyber physical systems subject to stochastic distributed DoS and deception attacks

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