Improving the performance of networked control systems with time delay and data dropouts based on fuzzy model predictive control

DOI10.1016/j.jfranklin.2018.07.012zbMath1398.93198OpenAlexW2885885883MaRDI QIDQ1797178

Ahmad M. El-Nagar, Ahmad Sakr, Mohammad El-Bardini, Mohamed Abel Sharaf

Publication date: 18 October 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.07.012

zbMATH Keywords

networked control systemsfuzzy model predictive control

Mathematics Subject Classification ID

Communication networks in operations research (90B18) Fuzzy control/observation systems (93C42) Nonlinear systems in control theory (93C10) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (1)

Robust output feedback tracking control for a class of high-order time-delay nonlinear systems with input dead-zone and disturbances

Uses Software

• Matlab
• Simulink

Cites Work

• Unnamed Item
• Economic model predictive control. Theory, formulations and chemical process applications
• On the choice of the horizon in long-range predictive control - some simple criteria
• Generalized predictive control. I: The basic algorithm
• Networked control design for linear systems
• Data-driven predictive control for networked control systems
• An iterative learning control design approach for networked control systems with data dropouts
• Robust ℋ︁_∞ PID control for multivariable networked control systems with disturbance/noise attenuation
• Design of robust digital controllers and sampling-time selection for SISO systems

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