2021
DOI: 10.1177/01423312211022205
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Stabilization of two-dimensional mixed continuous-discrete-time systems via dynamic output feedback with application to iterative learning control design

Abstract: This paper investigates the asymptotic stabilization of the 2-D continuous-discrete-time systems via dynamic output feedback. The problem is formulated in a general framework, where the system and controller are both described by the Roesser model. By rigorous mathematical works, a linear matrix inequality (LMI) condition is established to ensure the asymptotic stability of the closed-loop system. Using this LMI condition, the problem of determining the stabilizing controller parameters is converted to a rank … Show more

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Cited by 4 publications
(1 citation statement)
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“…Based on discrete linear repetitive processes of actuator failure, the authors of [16,17] proposed a comprehensive design method of an integrated iterative learning fault-tolerant controller with state feedback and gave sufficient conditions for a closed-loop system to remain stable in the case of failure using Lyapunov stability theory. In [18,19], a P-type ILC algorithm was proposed for high relative linear multivariable discrete systems with iterative initial error.…”
Section: Introductionmentioning
confidence: 99%
“…Based on discrete linear repetitive processes of actuator failure, the authors of [16,17] proposed a comprehensive design method of an integrated iterative learning fault-tolerant controller with state feedback and gave sufficient conditions for a closed-loop system to remain stable in the case of failure using Lyapunov stability theory. In [18,19], a P-type ILC algorithm was proposed for high relative linear multivariable discrete systems with iterative initial error.…”
Section: Introductionmentioning
confidence: 99%