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2015
DOI: 10.1016/j.probengmech.2015.02.003
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Linear backward stochastic differential systems of descriptor type with structure and applications to engineering

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Cited by 16 publications
(9 citation statements)
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References 35 publications
(51 reference statements)
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“…The analysis is based on the results of the deterministic problem (15). First, we present mild and strong solvability results and then, by Remark 1 and the assumption A(3)(ii), we prove the well posedness of problem (5).…”
Section: The Forward Stochastic Problemmentioning
confidence: 99%
See 1 more Smart Citation
“…The analysis is based on the results of the deterministic problem (15). First, we present mild and strong solvability results and then, by Remark 1 and the assumption A(3)(ii), we prove the well posedness of problem (5).…”
Section: The Forward Stochastic Problemmentioning
confidence: 99%
“…For the treatment of the solvability problem one can see [1], [13], [19]. Additionally, the backward problem and the exact controllability of the stochastic descriptor equations (2), (3), have been studied only recently in [13,15]. In this paper, more general equations of the form (4), In infinite dimensions, interesting applications of degenerate equations (4) (or (1)) are obtained if the operator M is a differential and L is a multiplicative one with a function that vanishes in a certain region of the configuration space.…”
Section: Introductionmentioning
confidence: 99%
“…Suppose that x 2 (t) is the inverse stochastic Laplace transform of X 2 (s) obtained from (7). Then, x 2 (t) is the impulse solution to (6) in the sense of the stochastic Laplace transform, or simply, the impulse solution to (6). In this case, if x 1 (t) denotes the solution to (5), then…”
Section: Let [mentioning
confidence: 99%
“…Using white noise and fractional white noise, two illustrative applications are presented in a previously conducted study [2]. The basic question of solvability has been formulated and considered [5,6]. Moreover, they propose a normalization procedure, and they completely solve the problem of exact controllability for a class of linear stochastic singular systems.…”
mentioning
confidence: 99%
“…for all y 1 , y 2 ∈ R d , z 1 , z 2 ∈ R d×k , (t, ω) a.e.. Since then, the BSDEs have been studied extensively, and have found wide applicability in areas such as mathematical finance, stochastic control, and stochastic controllability; see, for example, [10], [17], [29], [31], [42], [37], [20], [21], [22] [41], and the references therein. One direction of research has been to weaken the assumption of global Lipschitz condition (2) by assuming only local Lipschitz condition (see [1]), or non-Lipschitz condition of a particular form (see [30], [39]).…”
Section: Introductionmentioning
confidence: 99%