An LMI approach to robust optimal guaranteed cost control of 2-D discrete systems described by the Roesser model
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Publication:985646
DOI10.1016/j.sigpro.2010.03.008zbMath1194.94077OpenAlexW1987096986MaRDI QIDQ985646
Publication date: 6 August 2010
Published in: Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.03.008
robust stabilitylinear matrix inequalityLyapunov methodsguaranteed cost controlRoesser model2-D discrete systems
Related Items (10)
\(H_\infty\) control for a class of 2-D nonlinear systems with intermittent measurements ⋮ An LMI approach to optimal guaranteed cost control of uncertain 2-D discrete shift-delayed systems via memory state feedback ⋮ Robust optimal \(H_\infty \) control for 2-D discrete systems using asymmetric Lyapunov matrix ⋮ Adaptive iterative learning control for <scp>2D</scp> nonlinear systems with nonrepetitive uncertainties ⋮ Optimal iterative learning fault-tolerant guaranteed cost control for batch processes in the 2D-FM model ⋮ Control synthesis of uncertain Roesser-type discrete-time two-dimensional systems ⋮ Robust stability criteria of Roesser-type discrete-time two-dimensional systems with parameter uncertainties ⋮ \(H_\infty\) control for network-based 2D systems with missing measurements ⋮ Non-fragile robust optimal guaranteed cost control of uncertain 2-D discrete state-delayed systems ⋮ Delay-range dependent \(H_\infty\) control for uncertain 2D-delayed systems
Uses Software
Cites Work
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