Discrete Time Systems 2011
DOI: 10.5772/15247
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Output Feedback Control of Discrete-time LTI Systems: Scaling LMI Approaches

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Cited by 2 publications
(3 citation statements)
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“…In fact, there are a lot of existing works addressing this problem, and various methods have been proposed, e.g., Riccati equation approach, rankconstrained condition, approach based on structural properties, bilinear matrix inequality (BMI) approaches, min-max optimization techniques, and linear matrix inequality approaches [28,29]. Among them, the LMI approaches are much more efficient in dealing with synthesis problems [30][31][32], thus many results have also been obtained. In addition, the survey on the development of static output feedback can be found in [33].…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…In fact, there are a lot of existing works addressing this problem, and various methods have been proposed, e.g., Riccati equation approach, rankconstrained condition, approach based on structural properties, bilinear matrix inequality (BMI) approaches, min-max optimization techniques, and linear matrix inequality approaches [28,29]. Among them, the LMI approaches are much more efficient in dealing with synthesis problems [30][31][32], thus many results have also been obtained. In addition, the survey on the development of static output feedback can be found in [33].…”
Section: Resultsmentioning
confidence: 99%
“…First, by resorting to Theorem 1 in [32], the static output feedback controller gain matrix for the fast subsystem is obtained as H = -0.017.…”
Section: A Numerical Examplementioning
confidence: 99%
“…The incremental form of (37) is , C e = C 0 0 1×na 1 Thus, the SOFIC law (4) is converted into a static output feedback (SOF) control strategy for augmented system (39). Various approaches for designing SOF controllers have been reported in recent years (see [33][34][35][36] and the references therein), which can be used to design the parameters K 1 and K 2 .…”
Section: Remarkmentioning
confidence: 99%