2010
DOI: 10.1049/iet-cta.2009.0435
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Intelligent scheduling and optimisation for resource-constrained networks

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Cited by 13 publications
(6 citation statements)
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“…Few methods have been proposed in the literature to reduce the complexity of such an approach. One can see [15,16,27] and the references therein. In the present paper, we will consider an infinite-horizon scheduling problem.…”
Section: Introductionmentioning
confidence: 99%
“…Few methods have been proposed in the literature to reduce the complexity of such an approach. One can see [15,16,27] and the references therein. In the present paper, we will consider an infinite-horizon scheduling problem.…”
Section: Introductionmentioning
confidence: 99%
“…Until now, there are various scheduling methodologies for NCS with limited bandwidth resources [9][10][11][12][13][14][15][16][17][18][19][20]. The static scheduling strategies are traditionally employed as bandwidth scheduling techniques, as reported in [9][10][11][12] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, researches on dynamic scheduling of NCS have received a great deal of attention and many results have been reported; see examples in [13][14][15][16][17][18][19]. In these dynamic scheduling strategies, the bandwidth resources are dynamically allocated by adjusting the sampling periods of control loops in runtime, so that the system can sufficiently utilize the sharing resources and effectively improve the overall control performance.…”
Section: Introductionmentioning
confidence: 99%
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“…The concept of communication sequence was introduced to define the schedule of sensors/actuators, see Brockett [4] and Rehbinder and Sanfridson [5]. Recently, attention has been paid to online co-design of controller and communication sequence, see, for example, in Zhang and Hristu-Varsakelis [6,7], Guo [8] and Longo et al [9], and to bandwidth assignment for sensors/actuators in NCSs, see, for example, in Zhao et al [10] and Li et al [11]. These works are restricted to either offline static scheduling or dynamic scheduling.…”
Section: Introductionmentioning
confidence: 99%