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Published in 2017 at "Finance and Stochastics"
DOI: 10.1007/s00780-017-0327-5
Abstract: In this paper, which is a continuation of the discrete-time paper (Björk and Murgoci in Finance Stoch. 18:545–592, 2004), we study a class of continuous-time stochastic control problems which, in various ways, are time-inconsistent in…
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Keywords:
stochastic control;
time;
study;
finance ... See more keywords
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Published in 2020 at "Operational Research"
DOI: 10.1007/s12351-017-0323-8
Abstract: In this electronic era, most businesses, especially e-businesses like IT services, business process outsourcing (BPO), online merchants etc. maintain details of daily operations and customer feedback. Relations between different business parameters can be learned from…
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Keywords:
business;
stochastic control;
term;
reputation ... See more keywords
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Published in 2019 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2019.03.002
Abstract: Abstract This paper presents an analytical solution derived for optimal control of the power take-off of a single-degree of freedom heave point absorber with constraints on the control force. The optimal control law turns out…
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Keywords:
stochastic control;
control;
power;
control force ... See more keywords
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Published in 2019 at "Applied Ocean Research"
DOI: 10.1016/j.apor.2019.04.022
Abstract: Abstract An semi-analytical solution is derived for the optimal control of the power take-off of a single-degree of freedom heave point absorber with constraints on the displacement. At first the control force is derived during…
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Keywords:
wave energy;
stochastic control;
control;
power ... See more keywords
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Published in 2019 at "Journal of Mathematical Analysis and Applications"
DOI: 10.1016/j.jmaa.2019.01.004
Abstract: Reflected diffusions naturally arise in many problems from applications ranging from economics and mathematical biology to queueing theory. In this paper we consider a class of infinite time-horizon singular stochastic control problems for a general…
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Keywords:
stochastic control;
control;
reflected diffusions;
class ... See more keywords
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Published in 2024 at "Journal of Applied Probability"
DOI: 10.1017/jpr.2024.64
Abstract: Abstract A numerical method is proposed for a class of one-dimensional stochastic control problems with unbounded state space. This method solves an infinite-dimensional linear program, equivalent to the original formulation based on a stochastic differential…
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Keywords:
problems unbounded;
unbounded state;
state space;
finite element ... See more keywords
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Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2016.1160456
Abstract: ABSTRACT This paper discusses the design of the optimal preview controller for a linear continuous-time stochastic control system in finite-time horizon, using the method of augmented error system. First, an assistant system is introduced for…
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Keywords:
system;
control;
stochastic control;
time ... See more keywords
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Published in 2018 at "Journal of Biological Dynamics"
DOI: 10.1080/17513758.2018.1436197
Abstract: ABSTRACT A stochastic control model for finding an ecologically sound, fit-for-purpose dam operation policy to suppress bloom of attached algae in its downstream is presented. A singular exactly solvable and a more realistic regular-singular cases…
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Keywords:
downstream;
control model;
stochastic control;
algae growth ... See more keywords
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Published in 2020 at "Journal of Biological Dynamics"
DOI: 10.1080/17513758.2020.1811408
Abstract: A logistic type stochastic control model for cost-effective single-species population management subject to an ambiguous jump intensity is presented based on the modern multiplier-robust formulation. The Hamilton-Jacobi-Bellman-Isaacs (HJBI) equation for finding the optimal control is…
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Keywords:
jump;
term;
control;
stochastic control ... See more keywords
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Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2022.3189927
Abstract: In this letter, we connect some recent papers on smoothing of energy landscapes and scored-based generative models of machine learning to classical work in stochastic control. We clarify these connections providing rigorous statements and representations…
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Keywords:
deep neural;
control;
control deep;
entropy stochastic ... See more keywords
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Published in 2024 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2024.3417852
Abstract: The abstraction of dynamical systems is a powerful tool that enables the design of feedback controllers using a correct-by-design framework. We investigate a novel scheme to obtain data-driven abstractions of discrete-time stochastic processes in terms…
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Keywords:
driven stochastic;
control;
enhancing data;
data driven ... See more keywords