Neural network adaptive consensus control for nonlinear multi-agent systems encountered sensor attacks
From MaRDI portal
Publication:6170974
DOI10.1080/00207721.2023.2240465zbMath1520.93249MaRDI QIDQ6170974
Yong-Ming Li, Unnamed Author, Shao Cheng Tong
Publication date: 10 August 2023
Published in: International Journal of Systems Science (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Feedback control (93B52) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Multi-agent systems (93A16) Consensus (93D50)
Cites Work
- Resilient adaptive control of switched nonlinear cyber-physical systems under uncertain deception attacks
- Observer-based adaptive fuzzy output constrained control for uncertain nonlinear multi-agent systems
- Leader-follower consensus of time-varying nonlinear multi-agent systems
- Distributed robust finite-time nonlinear consensus protocols for multi-agent systems
- An Adaptive Control Architecture for Mitigating Sensor and Actuator Attacks in Cyber-Physical Systems
- Observer‐based leader‐following consensus of uncertain nonlinear multi‐agent systems
- Secure State Estimation Against Sparse Sensor Attacks With Adaptive Switching Mechanism
- Adaptive control for nonlinear cyber‐physical systems under false data injection attacks through sensor networks
- Disturbance-observer-based sampled-data adaptive output feedback control for a class of uncertain nonlinear systems
- Robust adaptive fuzzy control for non-strict feedback switched nonlinear systems with unmodeled dynamics
- Fuzzy adaptive event-triggered output feedback control for nonlinear systems with tracking error constrained and unknown dead-zone
- A survey on fault-tolerant consensus control of multi-agent systems: trends, methodologies and prospects
- Finite‐time adaptive neural control for nonlinear systems under state‐dependent sensor attacks