Neural network-based adaptive event-triggered control for cyber-physical systems under resource constraints and hybrid cyberattacks
DOI10.1016/j.automatica.2023.110977zbMath1519.93135OpenAlexW4323922448MaRDI QIDQ6103047
Qinxue Li, Xuhuan Xie, Yonggui Liu
Publication date: 26 June 2023
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.automatica.2023.110977
cyber-physical systems (CPSs)adaptive event-triggered schemes (AETSs)constraint and security control conceptshybrid cyberattacksneural network (NN) technology
Learning and adaptive systems in artificial intelligence (68T05) Control/observation systems involving computers (process control, etc.) (93C83) Adaptive control/observation systems (93C40) Asymptotic stability in control theory (93D20) Discrete event control/observation systems (93C65) Exponential stability (93D23) Networked control (93B70)
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Cites Work
- Unnamed Item
- Recent advances on filtering and control for cyber-physical systems under security and resource constraints
- Event-triggered communication and \(H_\infty\) control co-design for networked control systems
- Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks
- Feedback linearization using neural networks
- Resilient practical cooperative output regulation for MASs with unknown switching exosystem dynamics under DoS attacks
- Fully distributed observer-based consensus protocol: adaptive dynamic event-triggered schemes
- Cyber-physical systems. Digital technologies and applications
- Adaptive event-triggered \(H_\infty\) fuzzy filtering for interval type-2 T-S fuzzy-model-based networked control systems with asynchronously and imperfectly matched membership functions
- Input-to-State Stabilizing Control Under Denial-of-Service
- Linear Matrix Inequalities in System and Control Theory
- To Zero or to Hold Control Inputs With Lossy Links?
- Self-Triggering Under State-Independent Disturbances
- Resilient control of networked control systems under deception attacks: A memory‐event‐triggered communication scheme
- Remote State Estimation With Stochastic Event-Triggered Sensor Schedule and Packet Drops
- The Vulnerability of Cyber-Physical System Under Stealthy Attacks
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