2009
DOI: 10.1016/j.engappai.2008.11.007
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Robust MPL scheduling considering the number of in-process jobs

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Cited by 13 publications
(8 citation statements)
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“…This receding horizon approach introduces a feedback mechanism, which allows to reduce the effects of possible disturbances and model mismatch errors. More information on MPC for max-plus-linear systems can be found in De Schutter and van den Boom (2001); Goto (2009); Necoara et al (2007Necoara et al ( , 2009a; van den Boom and De Schutter (2002a). MPC for max-plus-linear systems with partial synchronization is proposed in (David-Henriet et al 2016).…”
Section: Model Predictive Controlmentioning
confidence: 99%
“…This receding horizon approach introduces a feedback mechanism, which allows to reduce the effects of possible disturbances and model mismatch errors. More information on MPC for max-plus-linear systems can be found in De Schutter and van den Boom (2001); Goto (2009); Necoara et al (2007Necoara et al ( , 2009a; van den Boom and De Schutter (2002a). MPC for max-plus-linear systems with partial synchronization is proposed in (David-Henriet et al 2016).…”
Section: Model Predictive Controlmentioning
confidence: 99%
“…For example, Lhommeau et al determined a robust controller set for uncertain max‐plus linear systems whose parameters are assumed to vary between known bounds 14 . Go to proposed a robust scheduling method that took into account the maximum and minimum number of in‐process jobs 15 . Necoara et al provided solutions to three finite horizon min‐max control problems for constrained max‐plus linear systems depending on the nature of the control input 16 .…”
Section: Introductionmentioning
confidence: 99%
“…The MPL system is described in max-plus algebraic contexts; it is able to represent time structures of two types of systems: parallelizing a job and synchronizing multiple jobs. Several scheduling methods have been proposed using an MPL system [1,2].…”
Section: Introductionmentioning
confidence: 99%