On delay robustness improvement using digital Smith predictor for networked control systems

DOI10.1016/j.ejcon.2017.01.001zbMath1358.93060OpenAlexW2574769206MaRDI QIDQ518914

Bidyadhar Subudhi, Sathyam Bonala, Sandip Ghosh

Publication date: 31 March 2017

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2017.01.001

zbMATH Keywords

delayLMInetworked control systempacket lossSmith predictor

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Control/observation systems with incomplete information (93C41) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Discrete event control/observation systems (93C65) Large-scale systems (93A15)

Related Items (4)

Predictive control of networked control system with event-triggering in two channels ⋮ Robust filtered Smith predictor for processes with time-varying delay: a simplified stability approach ⋮ Proportional integral observer based tracking control design for Markov jump systems ⋮ Output feedback preview tracking control for discrete-time polytopic time-varying systems

Uses Software

• TrueTime

Cites Work

• Network-based \(H_\infty\) filtering using a logic jumping-like trigger
• Model predictive control for constrained networked systems subject to data losses
• Controller synthesis for networked control systems
• Switching in systems and control
• Comparison of overapproximation methods for stability analysis of networked control systems
• Robust stabilisation control for discrete-time networked control systems
• Output feedback stabilisation of networked control systems via switched system approach
• Stability of Networked Control Systems With Uncertain Time-Varying Delays
• Observer-Based Control of Discrete-Time LPV Systems With Uncertain Parameters $ $
• Robustness analysis of discrete predictor-based controllers for input-delay systems
• Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis

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