Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service
From MaRDI portal
Publication:2243226
DOI10.1016/j.amc.2021.126255OpenAlexW3153422091MaRDI QIDQ2243226
Hai Wang, Shaoyu Lü, Chao Deng, Xiao-Zheng Jin
Publication date: 11 November 2021
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2021.126255
Related Items (11)
Adaptive hybrid formation-search and track controller of UAVs ⋮ Adaptive finite-time control for cyber-physical systems with injection and deception attacks ⋮ A two-event-generator scheme for event-triggered control of uncertain NCSs under deception attacks ⋮ Distributed output-feedback resilient fault-tolerant tracking control of uncertain heterogeneous linear MASs under directed topologies and DoS attacks ⋮ Controllability of higher order stochastic fractional control delay systems involving damping behavior ⋮ Observer-based finite-time dissipativity for parabolic systems with time-varying delays ⋮ Resilient decentralized adaptive tracking control for nonlinear interconnected systems with unknown control directions against DoS attacks ⋮ Neural network-based fixed-time sliding mode control for a class of nonlinear Euler-Lagrange systems ⋮ Safety-triggered stochastic tracking control for a cushion robot by constraining velocity considering the estimated internal disturbance ⋮ Observer-based fuzzy containment control for nonlinear networked mass under DoS attacks ⋮ Finite-time adaptive event-triggered command filtered backstepping control for a QUAV
Cites Work
- Unnamed Item
- State estimation under false data injection attacks: security analysis and system protection
- Secure state estimation for cyber-physical systems under sparse sensor attacks via a switched Luenberger observer
- Improved adaptive resilient control against sensor and actuator attacks
- Sliding-mode observers for systems with unknown inputs: a high-gain approach
- Secure estimation based Kalman filter for cyber-physical systems against sensor attacks
- Distributed adaptive security consensus control for a class of multi-agent systems under network decay and intermittent attacks
- A robust dynamic compensation approach for cyber-physical systems against multiple types of actuator attacks
- Adaptive fault-tolerant consensus for a class of leader-following systems using neural network learning strategy
- Event-triggered control of discrete-time switched linear systems with packet losses
- Design of sampled-data controllers for the synchronization of complex dynamical networks under controller attacks
- Hybrid-driven-based \(H_{\infty}\) filter design for neural networks subject to deception attacks
- Dynamic event-triggered actuator fault estimation and accommodation for dynamical systems
- Event-Triggered State Observers for Sparse Sensor Noise/Attacks
- Optimal Denial-of-Service Attack Scheduling With Energy Constraint
- Secure estimation for cyber‐physical systems with adversarial attacks and unknown inputs: An L2‐gain method
- Secure State Estimation Against Sparse Sensor Attacks With Adaptive Switching Mechanism
- Distributed Resilient Observer-Based Fault-Tolerant Control for Heterogeneous Multiagent Systems Under Actuator Faults and DoS Attacks
- Adaptive Fault-Tolerant Consensus for a Class of Uncertain Nonlinear Second-Order Multi-Agent Systems With Circuit Implementation
- Recent Advances in Control and Filtering of Dynamic Systems with Constrained Signals
This page was built for publication: Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service
