2000
DOI: 10.1016/s0764-4442(00)00263-9
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Perturbations à moindres regrets dans les systèmes distribués à données manquantes

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Cited by 23 publications
(21 citation statements)
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“…Some of the results in this paper are summarized in [17]. The proofs in the present paper and the treatment of the evolution cases are new.…”
Section: Introduction Let V Be a Real Hilbert Space Of Dual V A ∈ mentioning
confidence: 87%
See 1 more Smart Citation
“…Some of the results in this paper are summarized in [17]. The proofs in the present paper and the treatment of the evolution cases are new.…”
Section: Introduction Let V Be a Real Hilbert Space Of Dual V A ∈ mentioning
confidence: 87%
“…We improve the results of the work in [14] (and also [12]) of Lions by giving the precise optimality system for the low-regret control and by describing a number of applications. Thanks to a quadratic perturbation used by the authors in [17], the optimality system for the no-regret control appears clearly as the limit of a standard control problem.…”
Section: Introduction Let V Be a Real Hilbert Space Of Dual V A ∈ mentioning
confidence: 99%
“…The no-regret control is difficult to characterize in this present form (see [16]). Thus we define in the next section the low-regret control notion.…”
Section: Main Definitionsmentioning
confidence: 98%
“…To achieve the no-regret control, we give the precise optimality system for the low-regret control for the incomplete data population dynamics (1)-(2), using a quadratic perturbation by Nakoulima et al in [16] (see also [17]). Then, we give a characterization of the no-regret control which appears clearly as the limit of a standard control problem.…”
Section: Introductionmentioning
confidence: 99%
“…We here use a method that we find well adapted: the low-regret control concept, introduced by Lions in the late 80s (see, e.g., [9,10] and the references therein). In [11,12], the control of distributed system with incomplete data is performed. The proof of the existence and 2 International Journal of Differential Equations characterization of the no-regret control is obtained as the limit of the low-regret control.…”
Section: Introductionmentioning
confidence: 99%