49th IEEE Conference on Decision and Control (CDC) 2010
DOI: 10.1109/cdc.2010.5717076
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A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems

Abstract: Citation for published version (APA):Böhm, C., Lazar, M., & Allgöwer, F. (2010). A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems. In Proc. 49th IEEE Conference on Decision and Control (CDC), 15-17 December 2010, Atlanta, Georgia (pp. 3277-3282 Please check the document version of this publication:• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the … Show more

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Cited by 4 publications
(1 citation statement)
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“…Concerning specifically Corollary , the main motivation for treating the stabilization problem by solving a set of periodic discrete‐time systems is that there exist, in the literature, several papers devoted to such systems. Therefore, the corollary significantly enhances the proposed synthesis methodology by allowing the utilization of a considerably higher number of stabilization techniques (see, for example, other works). In the following, the adaptation of the periodic discrete‐time technique presented in the work of de Souza and Trofino to generate a stabilizing continuous‐time state‐feedback gain is presented.…”
Section: Synthesis Of Stabilizing Control Lawsmentioning
confidence: 92%
“…Concerning specifically Corollary , the main motivation for treating the stabilization problem by solving a set of periodic discrete‐time systems is that there exist, in the literature, several papers devoted to such systems. Therefore, the corollary significantly enhances the proposed synthesis methodology by allowing the utilization of a considerably higher number of stabilization techniques (see, for example, other works). In the following, the adaptation of the periodic discrete‐time technique presented in the work of de Souza and Trofino to generate a stabilizing continuous‐time state‐feedback gain is presented.…”
Section: Synthesis Of Stabilizing Control Lawsmentioning
confidence: 92%