Neural network-based output tracking control of high-order nonlinear systems with DoS attacks and perturbations
From MaRDI portal
Publication:6061137
DOI10.1016/j.jfranklin.2023.09.039zbMath1525.93113MaRDI QIDQ6061137
Jing Chi, Xiao-Ming Wu, Chao Deng, Bingheng Yan, Xiao-Zheng Jin
Publication date: 30 October 2023
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Artificial neural networks and deep learning (68T07) Feedback control (93B52) Nonlinear systems in control theory (93C10) Observers (93B53)
Cites Work
- Finite-time \({H}_{\infty }\) stability analysis of uncertain network-based control systems under random packet dropout and varying network delay
- Network-based PI control for output tracking of continuous-time systems with time-varying sampling and network-induced delays
- Distributed secure state estimation for cyber-physical systems under sensor attacks
- Robust synchronization control for complex networks with disturbed sampling couplings
- Adaptive sliding mode fault tolerant control for nonlinearly chaotic systems against DoS attack and network faults
- Resilient fixed-time synchronization of neural networks under DoS attacks
- Non-fragile control for consensus of nonlinear multiagent systems under periodic denial of service attacks
- Input-to-State Stabilizing Control Under Denial-of-Service
- Radial Basis Functions
- Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks
- Attack Detection and Identification in Cyber-Physical Systems
- Linearization-Based Quantized Stabilization of Nonlinear Systems Under DoS Attacks
- Resilient Cooperative Output Regulation for Nonlinear Multiagent Systems Under DoS Attacks
- Distributed Adaptive Tracking Control for High-Order Nonlinear Multiagent Systems Over Event-Triggered Communication
This page was built for publication: Neural network-based output tracking control of high-order nonlinear systems with DoS attacks and perturbations