Self-discipline predictive control against large-scale packet dropouts using input delay approach
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Publication:5073335
DOI10.1080/00207721.2021.1979685zbMath1490.93047OpenAlexW3201843200MaRDI QIDQ5073335
Cheng Tan, Chen Peng, Hongtao Sun
Publication date: 6 May 2022
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2021.1979685
Input-output approaches in control theory (93D25) Delay control/observation systems (93C43) Networked control (93B70)
Cites Work
- Unnamed Item
- Predictor-based networked control under uncertain transmission delays
- A refined input delay approach to sampled-data control
- Composite nonlinear feedback control technique for master/slave synchronization of nonlinear systems
- Modeling and stabilization of networked control systems with bounded packet dropouts and occasionally missing control inputs subject to multiple sampling periods
- Event-triggered predictive control for networked control systems with DoS attacks
- Delay-independent dual-rate PID controller for a packet-based networked control system
- Absolute stability of time-delay systems with sector-bounded nonlinearity
- Stability robustness of networked control systems with respect to packet loss
- Closed-loop control of dead time systems via sequential sub-predictors
- Input-to-State Stabilizing Control Under Denial-of-Service
- Synchronization of A Class of Uncertain Chaotic Systems with Lipschitz Nonlinearities Using State‐Feedback Control Design: A Matrix Inequality Approach
- Event‐triggered predictive control for networked control systems with network‐induced delays and packet dropouts
- Joint Cross-Layer Optimization in Real-Time Networked Control Systems
- Switching-Like Event-Triggered Control for Networked Control Systems Under Malicious Denial of Service Attacks
- Input-to-State Stability of Packetized Predictive Control Over Unreliable Networks Affected by Packet-Dropouts
- Robust stability analysis of an energy-efficient control in a networked control system with application to unmanned ground vehicles