[PDF] Top 20 Stochastic singular control problems with state constraint
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Stochastic singular control problems with state constraint
... Stochastic Control Theory is an active area of research in applied probability with ap- plications in diverse disciplines such as aerospace engineering, management science, eco- nomics, mathematical ... See full document
135
Long time stability and control problems for stochastic networks in heavy traffic
... general state dependent coefficients, constrained to take values in a convex polyhedral cone S in R d with the vertex at the ...with state dependent arrival and service ...scaled state descriptors of ... See full document
137
Maximum principle for delayed stochastic mean field control problem with state constraint
... of state function ...our control domain U is bounded, while the case U is unbounded can be treated via the bounded case with a convergence technique as mentioned in Zhang ... See full document
25
A report on using parallel MATLAB for solutions to stochastic optimal control problems
... is state evolution, u : [ 0, T ] → U ⊆ R c is control and W is a standard Wiener process in which precisely N 6 d components are not constantly zero (so the state space has dimension d, the ... See full document
14
Almost sure exponential stabilisation of stochastic systems by state-feedback control
... The problems of stabilisation of differential equations by noise have been studied by many authors and we here mention Arnold, Crauel & Wihstutz (1983); Pardoux & Wihstutz (1992); Mao (1994); Kwieci´ nska ... See full document
8
On The Fractional Optimal Control Problem with Free End Point
... a state / control / terminal time triplet to be optimal in stochastic fractional optimal control problems, such that the dynamic control system involves stochastic and ... See full document
5
Essays on Environmental and Computational Economics
... the state space to solve the embedded optimization ...viewing singular/impulse control ...lar/impulse control problems and optimal regime switching problems by treating both ... See full document
158
Variational discretization and mixed methods for semilinear parabolic optimal control problems with integral constraint
... the control, state, and co- ...the control function u is not discretized, whereas the state ( p , y ) and the co-state ( q , z ) were approximations by the RT0 mixed finite element ... See full document
8
A Solvable Two-Dimensional Degenerate Singular Stochastic Control Problem with Nonconvex Costs
... optimal control always acts by inducing discontinuities in the state ...available control but, rather, causes the inventory level to jump to a critical level c ˆ ∈ (0, 1) (which coincides with the ... See full document
27
Robust \(H {\infty}\) control for singular systems with state delay and parameter uncertainty
... A singular system provides a suitable way to handle such problems, the ro- bust control theory based on singular system models has been widely developed for many ... See full document
9
Singular Optimal Control Problem of Stochastic Switching Systems
... Stochastic control problems have a variety of practical applications in fields such as physics, biology, economics, management sciences, ...modern stochastic optimal control theory has ... See full document
5
Stochastic singular optimal control problem of switching systems with constraints
... optimal control problem of switching system in which constraints on the state variable are given by ...for stochastic switching systems with constraints is obtained, and transversality conditions for ... See full document
14
Maximum principle for a stochastic delayed system involving terminal state constraints
... on state constraints (see [, –]) as well as the du- ality relation between time-advanced stochastic differential equations (SDEs, for short) and time-delayed BSDEs (see []) may help us to overcome the ... See full document
16
Stochastic nonzero-sum games: a new connection between singular control and optimal stopping
... between singular stochastic control problems and questions of optimal stopping by extending the existing results to nonzero-sum, multi-agent optimisation ...misation problems is ... See full document
27
Solving the Uniform Density Constraint in a Stochastic Downscaling Model
... Whereas deterministic refinement methods, based on a posteriori estimates [20], are already well developed, some of the authors introduced SDM [19], an algorithm of a totally new type in the framework of downscaling ... See full document
14
Discrete-Event Control of Stochastic Networks - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... [r] ... See full document
325
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and Bandits
... BayesOpt is a library with state-of-the-art Bayesian optimization methods to solve nonlin- ear optimization, stochastic bandits or sequential experimental design problems. Bayesian optimization ... See full document
5
Superlinear Singular Problems on the Half Line
... Under assumptions 1.3–1.8 problem 1.1, 1.2 generalizes some models arising in hydrodynamics or in the nonlinear field theory see 1–5. If a homoclinic solution exists, many important properties of corresponding models can ... See full document
18
Inexact newton methods for singular problems
... by problems that are near such singular problems [11], [16], and the structure of the singularity aects the performance of various Newton-like methods such as the Shamanskii method [21], the chord ... See full document
17
A Galerkin method of O(h2) for singular boundary value problems
... The singular two-point boundary value problems of the form ...applied problems, for example, in the study of electrohydrodynamics [9], in the theory of thermal explosions [4], in the separation of ... See full document
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