Results 21 to 30 of about 896,969 (285)

Solving Schrödinger Bridges via Maximum Likelihood

open access: yesEntropy, 2021
The Schrödinger bridge problem (SBP) finds the most likely stochastic evolution between two probability distributions given a prior stochastic evolution.
Francisco Vargas   +3 more
doaj   +1 more source

Mathematical control of complex systems 2013 [PDF]

open access: yes, 2014
Mathematical control of complex systems have already become an ideal research area for control engineers, mathematicians, computer scientists, and biologists to understand, manage, analyze, and interpret functional information/dynamical behaviours from ...
Dong, H   +5 more
core   +4 more sources

Market Making With Signals Through Deep Reinforcement Learning

open access: yesIEEE Access, 2021
Deep reinforcement learning has recently been successfully applied to a plethora of diverse and difficult sequential decision-making tasks, ranging from the Atari games to robotic motion control.
Bruno Gasperov, Zvonko Kostanjcar
doaj   +1 more source

Maximum principle for a stochastic delayed system involving terminal state constraints [PDF]

open access: yes, 2017
We investigate a stochastic optimal control problem where the controlled system is depicted as a stochastic differential delayed equation; however, at the terminal time, the state is constrained in a convex set.
Shi, Yufeng, Wen, Jiaqiang
core   +3 more sources

Displacement control of integrated ionic polymer-metal composite actuator with stochastic ON/OFF controller

open access: yesNihon Kikai Gakkai ronbunshu, 2017
An ionic polymer-metal composite (IPMC) actuator is an electric driven soft actuator. It is fabricated by chemically plating metal on both surface of an ion-exchange membrane. It is able to be activated by a simple driving circuit and low applied voltage
Keishiro KIMURA, Norihiro KAMAMICHI
doaj   +1 more source

Variance-constrained multiobjective control and filtering for nonlinear stochastic systems: A survey [PDF]

open access: yes, 2013
The multiobjective control and filtering problems for nonlinear stochastic systems with variance constraints are surveyed. First, the concepts of nonlinear stochastic systems are recalled along with the introduction of some recent advances.
Dong, H, Ma, L, Wang, Z, Wei, G
core   +2 more sources

Optimal Investment and Liability Ratio Policies in a Multidimensional Regime Switching Model

open access: yesRisks, 2017
We consider an insurer who faces an external jump-diffusion risk that is negatively correlated with the capital returns in a multidimensional regime switching model. The insurer selects investment and liability ratio policies continuously to maximize her/
Bin Zou, Abel Cadenillas
doaj   +1 more source

Long-Term Bifurcation and Stochastic Optimal Control of a Triple-Delayed Ebola Virus Model with Vaccination and Quarantine Strategies

open access: yesFractal and Fractional, 2022
Despite its high mortality rate of approximately 90%, the Ebola virus disease (EVD) has not received enough attention in terms of in-depth research. This illness has been responsible for over 40 years of epidemics throughout Central Africa.
Anwarud Din, Asad Khan, Yassine Sabbar
doaj   +1 more source

Stochastic Optimization Theory of Backward Stochastic Differential Equations Driven by G-Brownian Motion [PDF]

open access: yes, 2013
In this paper, we consider the stochastic optimal control problems under G-expectation. Based on the theory of backward stochastic differential equations driven by G-Brownian motion, which was introduced in [10.11], we can investigate the more general ...
Bi, Xiuchun   +2 more
core   +4 more sources

Optimal and Suboptimal Control of a Standard Brownian Motion

open access: yesArchives of Control Sciences, 2016
The problem of optimally controlling a standard Brownian motion until a fixed final time is considered in the case when the final cost function is an even function. Two particular problems are solved explicitly.
Lefebvre Mario
doaj   +1 more source

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