Results 11 to 20 of about 1,342,874 (327)

Stochastic optimal control — A concise introduction

open access: yesMathematical Control and Related Fields, 2019
This is a concise introduction to stochastic optimal control theory. We assume that the readers have basic knowledge of real analysis, functional analysis, elementary probability, ordinary differential equations and partial differential equations.
J. Yong
semanticscholar   +3 more sources

Sequential Convex Programming For Non-Linear Stochastic Optimal Control [PDF]

open access: yesE S A I M: Control, Optimisation and Calculus of Variations, 2020
This work introduces a sequential convex programming framework for non-linear, finite-dimensional stochastic optimal control, where uncertainties are modeled by a multidimensional Wiener process.
Riccardo Bonalli, T. Lew, M. Pavone
semanticscholar   +1 more source

Stochastic optimal control analysis for the hepatitis B epidemic model

open access: yesResults in Physics, 2021
Mathematical formulation of a stochastic hepatitis B virus (HBV) model with the application of optimal control and randomly noise transmission has been focused in this paper. For the ease of understanding, the model is divided into four different classes
Peijiang Liu   +3 more
doaj   +1 more source

Optimal control for controllable stochastic linear systems [PDF]

open access: yesESAIM: Control, Optimisation and Calculus of Variations, 2020
This paper is concerned with a constrained stochastic linear-quadratic optimal control problem, in which the terminal state is fixed and the initial state is constrained to lie in a stochastic linear manifold. The controllability of stochastic linear systems is studied.
Xiuchun Bi, Jingrui Sun, Jie Xiong
openaire   +3 more sources

Stochastic optimal and time-optimal control studies for additional food provided prey–predator systems involving Holling type III functional response

open access: yesComputational and Mathematical Biophysics, 2023
This article consists of a detailed and novel stochastic optimal control analysis of a coupled non-linear dynamical system. The state equations are modelled as an additional food-provided prey–predator system with Holling type III functional response for
Prakash Daliparthi Bhanu   +1 more
doaj   +1 more source

A sufficient maximum principle for backward stochastic systems with mixed delays

open access: yesMathematical Biosciences and Engineering, 2023
In this paper, we study the problem of optimal control of backward stochastic differential equations with three delays (discrete delay, moving-average delay and noisy memory). We establish the sufficient optimality condition for the stochastic system. We
Heping Ma, Hui Jian , Yu Shi
doaj   +1 more source

STOCHASTIC OPTIMAL CONTROL OF A TWO-DIMENSIONAL DYNAMICAL SYSTEM [PDF]

open access: yesJournal of Engineering Science (Chişinău), 2020
In this paper, we considered the problem of optimally controlling a twodimensional dynamical system until it reaches either of two boundaries. We consider a controlled dynamical system (X(t), Y(t)) which is a generalization of the classic twodimensional ...
Lefebvre, Mario
doaj   +1 more source

Sparse optimal stochastic control [PDF]

open access: yesAutomatica, 2021
In this paper, we investigate a sparse optimal control of continuous-time stochastic systems. We adopt the dynamic programming approach and analyze the optimal control via the value function. Due to the non-smoothness of the $L^0$ cost functional, in general, the value function is not differentiable in the domain.
Ito, Kaito   +2 more
openaire   +2 more sources

Stochastic Linear Quadratic Optimal Control Problem: A Reinforcement Learning Method [PDF]

open access: yesIEEE Transactions on Automatic Control, 2020
This article adopts a reinforcement learning (RL) method to solve infinite horizon continuous-time stochastic linear quadratic problems, where the drift and diffusion terms in the dynamics may depend on both the state and control.
Na Li, Xunjing Li, Jing Peng, Z. Xu
semanticscholar   +1 more source

Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs [PDF]

open access: yesRobotics: Science and Systems, 2019
In this paper we propose a new methodology for decision-making under uncertainty using recent advancements in the areas of nonlinear stochastic optimal control theory, applied mathematics, and machine learning.
Ziyi Wang   +2 more
semanticscholar   +1 more source

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