Consensus tracking control for uncertain non‐strict feedback multi‐agent system under cyber attack via resilient neuroadaptive approach

DOI10.1002/rnc.6035zbMath1528.93209OpenAlexW4212780969MaRDI QIDQ6065800

Unnamed Author, Unnamed Author, Lin Yang, Feng Yang, Long Zhang, Ming Jin, Wenhan Dong, Unnamed Author

Publication date: 11 December 2023

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.6035

zbMATH Keywords

multi-agent systemnon-linear systemcyber attackcyber physical systemneuroadaptive control

Mathematics Subject Classification ID

Feedback control (93B52) Control/observation systems with incomplete information (93C41) Adaptive control/observation systems (93C40) Multi-agent systems (93A16) Consensus (93D50)

Cites Work

• Non-fragile consensus control for nonlinear multi-agent systems with uniform quantizations and deception attacks via output feedback approach
• Observer-based adaptive fuzzy output constrained control for uncertain nonlinear multi-agent systems
• Event-based secure consensus of muti-agent systems under asynchronous DoS attacks
• Leaderless consensus control of uncertain multi-agents systems with sensor and actuator attacks
• Adaptive fault-tolerant control for nonlinear multi-agent systems with DoS attacks
• Input-to-State Stabilizing Control Under Denial-of-Service
• Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks
• Performance Recovery of Dynamic Feedback-Linearization Methods for Multivariable Nonlinear Systems
• Leader‐following consensus of uncertain strict feedback multiagent systems subject to sensor and actuator attacks

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