Recent developments on the stability of systems with aperiodic sampling: An overview

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• 作者：Laurentiu Hetel^a ; ^{laurentiu.hetel@ec-lille.fr}Author Vitae ; Christophe Fiter^a ; ^{christophe.fiter@univ-lille1.fr}Author Vitae ; Hassan Omran^b ; ^{hassan.samir.omran@gmail.com}Author Vitae ; Alexandre Seuret^c ; ^{aseuret@gmail.com} ; ^{aseuret@laas.fr}Author Vitae ; Emilia Fridman^d ; ^{emilia@eng.tau.ac.il}Author Vitae ; Jean-Pierre Richard^a ; ^e ; ^{Jean-Pierre.Richard@ec-lille.fr}Author Vitae ; Silviu Iulian Niculescu^f ; ^{Silviu.Niculescu@lss.supelec.fr}Author Vitae
• 关键词：Networked/embedded control systems ; Sampled-data control ; Aperiodic sampling ; Stability analysis ; Time-delay systems ; Hybrid systems ; Convex embeddings ; Integral Quadratic Constraints
• 刊名：Automatica
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：76
• 期：Complete
• 页码：309-335
• 全文大小：1752 K
• 卷排序：76

文摘

This article presents basic concepts and recent research directions about the stability of sampled-data systems with aperiodic sampling. We focus mainly on the stability problem for systems with arbitrary time-varying sampling intervals which has been addressed in several areas of research in Control Theory. Systems with aperiodic sampling can be seen as time-delay systems, hybrid systems, Input/Output interconnections, discrete-time systems with time-varying parameters, etc. The goal of the article is to provide a structural overview of the progress made on the stability analysis problem. Without being exhaustive, which would be neither possible nor useful, we try to bring together results from diverse communities and present them in a unified manner. For each of the existing approaches, the basic concepts, fundamental results, converse stability theorems (when available), and relations with the other approaches are discussed in detail. Results concerning extensions of Lyapunov and frequency domain methods for systems with aperiodic sampling are recalled, as they allow to derive constructive stability conditions. Furthermore, numerical criteria are presented while indicating the sources of conservatism, the problems that remain open and the possible directions of improvement. At last, some emerging research directions, such as the design of stabilizing sampling sequences, are briefly discussed.