2015
DOI: 10.1016/j.ifacol.2015.09.396
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On Stability of Uncertain Time-Delay Systems: Robustness Margin for the Inventory Control

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Cited by 5 publications
(6 citation statements)
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“…Remark 2: Furthermore, we study in this paper a general class of logistic systems with a positive loss factor contrary to [1] and [16] where σ = 0 is considered. Moreover, the model description is completed in this paper where both positive and saturation constraints are considered, contrary to [16] where only saturation constraints are modeled.…”
Section: Comparative Analysis and Discussionmentioning
confidence: 99%
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“…Remark 2: Furthermore, we study in this paper a general class of logistic systems with a positive loss factor contrary to [1] and [16] where σ = 0 is considered. Moreover, the model description is completed in this paper where both positive and saturation constraints are considered, contrary to [16] where only saturation constraints are modeled.…”
Section: Comparative Analysis and Discussionmentioning
confidence: 99%
“…The obtained equation is well known by the model reduction or the Artstein's reduction [2]. The state prediction structure was first studied by [18] and used after by [15], [1] and [5]. The basic idea of such a basic prediction principle is to anticipate and fully compensate the system delay θ, by generating a control law that directly uses the corresponding free-delay system (12).…”
Section: Predictive Control Structurementioning
confidence: 99%
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“…(1978). The basic issue is to compensate the time delay by generating a control law that uses directly the corresponding delay-free system, as developed in Bou Farraa, B. et al (2018) and Abbou et al (2015). However, the system delay presents some uncertainties that are expressed by the following range:…”
Section: Inventory Control Structurementioning
confidence: 99%
“…Through the years, different studies were based on differential equations and feedback structures, to model and control production systems, see Ignaciuk P., and Bartoszewicz, A. (2011), Abbou et al (2015) and Bou Farraa, B. et al (2018). The first contribution of this work provides a robust control law which guarantee the stability of the closedloop system, using a feedback-predictor control structure.…”
Section: Introductionmentioning
confidence: 99%