2007
DOI: 10.1109/acc.2007.4282524
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LMI control design for a class of exponential uncertain systems with application to network controlled switched systems

Abstract: This paper is dedicated to the stabilizability of discrete uncertain systems with exponential uncertainties. Such uncertain system are encountered in many application domains that use sampled-data controllers and communication networks. For the sake of generality, the design problem is presented in the context of switched systems. LMI robust control synthesis based on an equivalent polytopic model with an additive norm bounded term are presented. The results are applied to network controlled switched systems i… Show more

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Cited by 56 publications
(66 citation statements)
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“…Here, the method developed by (Hetel et al, 2007) is considered. This method underlines the exact equivalence between polynomial model and convex polytopic representation.…”
Section: The Winding Machine Modelization With Sensor Faultsmentioning
confidence: 99%
“…Here, the method developed by (Hetel et al, 2007) is considered. This method underlines the exact equivalence between polynomial model and convex polytopic representation.…”
Section: The Winding Machine Modelization With Sensor Faultsmentioning
confidence: 99%
“…The state constraints in the continuous time are approximated by imposing sufficient conditions that the state of the system must satisfy only at the sampling instances. The technique is based on recent ideas regarding polytopic approximations of systems with timevarying delays, (Cloosterman [2008], Gielen et al [2009], , , Hetel et al [2006], Hetel et al [2007]). …”
Section: Introductionmentioning
confidence: 99%
“…We then continue the chosen finite sequence infinitely, adding for . This sample time sequence results in the cost (15) where propagates according to (11). This cost is, of course, a lower bound on .…”
Section: Introductionmentioning
confidence: 99%
“…A related topic is jitter compensation, which consists of adding a "compensator" to the existing control system to guarantee stability or a certain performance level in the presence of jitter; see, e.g., [10]- [12]. Other researchers have used LMIs, and robust control analysis and synthesis methods, to achieve stabilization of discrete uncertain systems [13], [14], or switched systems with unknown time-varying delays [15]. Recent work has also discussed the use of time-varying delay to model sample-and-hold circuits [16].…”
Section: Introductionmentioning
confidence: 99%