A novel approach for robust model predictive control applied to switched linear systems through state and output feedback

DOI10.1016/J.JFRANKLIN.2022.12.015zbMath1506.93025OpenAlexW4313530327MaRDI QIDQ2681916

Marcus V. S. Costa, Leonardo H. Macedo, Luís Carvalho, Elenilson V. Fortes

Publication date: 31 January 2023

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

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.12.015

zbMATH Keywords

discrete linear systemsrobust switched model predictive controller

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Linear systems in control theory (93C05) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30) Model predictive control (93B45)

Uses Software

• YALMIP
• Robotics

Cites Work

• Robust constrained model predictive control using linear matrix inequalities
• An efficient off-line formulation of robust model predictive control using linear matrix inequalities
• Switching in systems and control
• An improved approach for constrained robust model predictive control
• Coalitional predictive control: consensus-based coalition forming with robust regulation
• Stability and Stabilization of Continuous‐Time Switched Linear Systems
• Basic problems in stability and design of switched systems
• Stability and stabilization of discrete time switched systems
• Soft computing for control of non-linear dynamical systems

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