Event-based adaptive secure asymptotic tracking control for nonlinear cyber–physical systems against unknown deception attacks

Yongjie Tian; Ning Zhao

doi:10.1016/j.jfranklin.2024.106766

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Event-based adaptive secure asymptotic tracking control for nonlinear cyber–physical systems against unknown deception attacks

Yongjie Tian Ning Zhao

Year: 2024 Journal: Journal of the Franklin Institute Vol: 361 (7)Pages: 106766-106766 Publisher: Elsevier BV

DOI: 10.1016/j.jfranklin.2024.106766

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Keywords:

Deception Cyber-physical system Nonlinear system Event (particle physics) Computer science Tracking (education) Control (management) Computer security Control theory (sociology) Adaptive control Psychology Artificial intelligence Social psychology Physics

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Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Distributed Control Multi-Agent Systems

Physical Sciences → Computer Science → Computer Networks and Communications

Event-based adaptive secure asymptotic tracking control for nonlinear cyber–physical systems against unknown deception attacks

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