Results 11 to 20 of about 3,170 (165)

Optimal control of stochastic singular affine systems with Markovian jumps

open access: yesJournal of Inequalities and Applications, 2022
We consider an optimal control problem for a class of stochastic singular affine systems with Markovian jumps. We establish the existence and uniqueness of the solution to stochastic singular affine systems with Markovian jumps for the first time.
Xin Wang, Lisha Wang, Yuxiang Liu
doaj   +1 more source

Multi-Player Non-Cooperative Game Strategy of a Nonlinear Stochastic System with Time-Varying Parameters

open access: yesAxioms, 2023
This paper discusses the multi-player non-cooperative game of nonlinear stochastic time-varying systems described by Itô-type differential equations in a finite time interval.
Xiangyun Lin   +4 more
doaj   +1 more source

Stability analysis of supply chain in evolutionary game based on stability theory of nonlinear differential equation

open access: yesAlexandria Engineering Journal, 2020
Based on the stability theory of nonlinear differential equation, this paper analyzes the stability of the evolutionary game supply chain, and obtains the strategies that both sides should adopt in different situations.
Huiqun Yuan   +3 more
doaj   +1 more source

Modeling the industry perspective of university-industry collaborative innovation alliances: Player behavior and stability issues

open access: yesInternational Journal of Engineering Business Management, 2022
Many firms find it challenging to develop innovations, evidenced by the ever-mounting number of university-industry research alliances. This study examines the strategic choices of actors who participate in collaborative innovation alliances involving ...
Yang Song   +4 more
doaj   +1 more source

A Game—Theoretic Model for a Stochastic Linear Quadratic Tracking Problem

open access: yesAxioms, 2023
In this paper, we solve a stochastic linear quadratic tracking problem. The controlled dynamical system is modeled by a system of linear Itô differential equations subject to jump Markov perturbations.
Vasile Drăgan   +2 more
doaj   +1 more source

Application of optimal control to the dynamic advertising decisions for supply chain with multiple delays

open access: yesSystems Science & Control Engineering, 2020
This paper is concerned with application problem of optimal control to a class of dynamic advertising models with multiple delays. Here, a dynamic model with state and control delays is introduced to describe the impacts of advertising delayed and memory
Hui Yu   +4 more
doaj   +1 more source

Stochastic Differential Games with Asymmetric Information [PDF]

open access: yesApplied Mathematics and Optimization, 2008
We investigate a two-player zero-sum stochastic differential game in which the players have an asymmetric information on the random payoff. We prove that the game has a value and characterize this value in terms of dual solutions of some second order Hamilton-Jacobi equation.
Cardaliaguet, Pierre, Rainer, Catherine
openaire   +4 more sources

A Stochastic Differential Game in the Orthrant

open access: yesJournal of Mathematical Analysis and Applications, 2002
This paper concerns a zero-sum stochastic differential game on the nonnegative orthrant. The corresponding dynamical systems is a stochastic differential equation where players control act only on the drift terms (and not on the diffusion term), also the bijectories are reflected on the boundary of the orthrant.
Ghosh, Mrinal K, Kumar, Suresh K
openaire   +2 more sources

Understanding evolutionary and ecological dynamics using a continuum limit

open access: yesEcology and Evolution, 2021
Continuum limits in the form of stochastic differential equations are typically used in theoretical population genetics to account for genetic drift or more generally, inherent randomness of the model. In evolutionary game theory and theoretical ecology,
Peter Czuppon, Arne Traulsen
doaj   +1 more source

Deep fictitious play for stochastic differential games [PDF]

open access: yesCommunications in Mathematical Sciences, 2021
In this paper, we apply the idea of fictitious play to design deep neural networks (DNNs), and develop deep learning theory and algorithms for computing the Nash equilibrium of asymmetric $N$-player non-zero-sum stochastic differential games, for which we refer as \emph{deep fictitious play}, a multi-stage learning process.
openaire   +2 more sources

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