2018 IEEE Conference on Decision and Control (CDC) 2018
DOI: 10.1109/cdc.2018.8619094
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${L}_{2}$-Stability Criterion for Systems with Decentralized Asynchronous Controllers

Abstract: This paper deals with the stability analysis of decentralized sampled-data Linear Time Invariant (LTI) control systems with asynchronous sensors and actuators. We consider the case where each controller in the decentralized setting has its own sampling and actuation frequency which translates to asynchrony between sensors and actuators. The errors induced due to sampling and asynchronicity are modelled using two different operator approaches, leading to simple L2stability criteria for the overall decentralized… Show more

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Cited by 5 publications
(22 citation statements)
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“…In other words, we study the effect of asynchrony between local, possibly aperiodic, sampled-data controllers, on the overall stability of the system. The significance of such an analysis is corroborated using the following example studied in [24]. Consider the decentralized LTI system defined by…”
Section: Introductionmentioning
confidence: 87%
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“…In other words, we study the effect of asynchrony between local, possibly aperiodic, sampled-data controllers, on the overall stability of the system. The significance of such an analysis is corroborated using the following example studied in [24]. Consider the decentralized LTI system defined by…”
Section: Introductionmentioning
confidence: 87%
“…Feedback interconnections of this form, shown in Figure 5, are often studied in the robust control framework. This representation aids in providing simple L 2 -stability criteria as we have shown in [24]. In the next section, we illustrate the implication of such L 2 -stability properties on the exponential stability of the decentralized LTI system ( 13)-( 16).…”
mentioning
confidence: 93%
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“…Using the same hybrid framework as [11], [12] shows stability of unsynchronized saturated linear systems. In [13] and [14] small gain arguments are used to establish stability of decentralized sampled-data systems while [15] use integral quadratic constraints to achieve the same objective.…”
Section: Introductionmentioning
confidence: 99%