Resilient Distributed Control of Multi-agent Cyber-Physical Systems

DOI10.1007/978-3-319-01159-2_16zbMath1302.93131OpenAlexW43052476MaRDI QIDQ2925514

Tamer Başar, Quanyan Zhu, Linda G. Bushnell

Publication date: 16 October 2014

Published in: Control of Cyber-Physical Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-01159-2_16

zbMATH Keywords

differential gamesnetwork securitycyber-physical systemsmulti-resolution gamescoupled Riccati differential equationssecure controlgames-in-gamesresilient control systems

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Multivariable systems, multidimensional control systems (93C35) Pursuit and evasion games (49N75) Authentication, digital signatures and secret sharing (94A62)

Related Items (4)

A nonlinear systems framework for cyberattack prevention for chemical process control systems ⋮ Game-theory-based consensus learning of double-integrator agents in the presence of worst-case adversaries ⋮ Learning to Optimize ⋮ A game-theoretic method for resilient control design in industrial multi-agent CPSs with Markovian and coupled dynamics

Cites Work

• Unnamed Item
• Unnamed Item
• Minimax control of switching systems under sampling
• Interdependent security
• Game theory meets network security and privacy
• Network Security
• Controllability, stabilizability, and continuous-time Markovian jump linear quadratic control
• \(H^ \infty\)-optimal control and related minimax design problems. A dynamic game approach.

This page was built for publication: Resilient Distributed Control of Multi-agent Cyber-Physical Systems