Robust decentralized iterative learning control for large-scale interconnected systems described by 2-D Fornasini-Marchesini systems with iteration-dependent uncertainties including boundary states, disturbances, and reference trajectory

DOI10.1002/ACS.3506MaRDI QIDQ6496744

Kai Wan

Publication date: 6 May 2024

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

zbMATH Keywords

large-scale interconnected systemsiteration-dependent uncertaintiesrobust iterative learning control (ILC)two-dimensional linear discrete Fornasini-Marchesini systems

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• Iterative learning control for spatially interconnected systems
• Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems
• Two-dimensional state-space discrete models for hyperbolic partial differential equations
• Robust iterative learning control in finite frequency ranges for differential spatially interconnected systems
• Decentralized iterative learning control for a class of large scale interconnected dynamical systems
• Controller synthesis for switched T-S fuzzy positive systems described by the Fornasini-Marchesini second model
• Non-fragile robust optimal guaranteed cost control of uncertain 2-D discrete state-delayed systems
• Controllability Analysis of Two-Dimensional Systems Using 1D Approaches
• Robust Iterative Learning Control for Nonrepetitive Uncertain Systems
• Matrix Analysis
• Realization Using the Fornasini-Marchesini Model for Implementations in Distributed Grid Sensor Networks
• Initial shift issues on discrete-time iterative learning control with system relative degree
• Adaptive iterative learning control for <scp>2D</scp> nonlinear systems with nonrepetitive uncertainties

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