Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments
DOI10.1016/j.apm.2022.11.009zbMath1515.93212arXiv2210.00747OpenAlexW4309580447MaRDI QIDQ6100032
Tomohiro Tanaka, Hidekazu Yoshioka, Ayumi Hashiguchi, Yumi Yoshioka
Publication date: 21 June 2023
Published in: Applied Mathematical Modelling (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2210.00747
Optimal stochastic control (93E20) Applications of stochastic analysis (to PDEs, etc.) (60H30) Linear-quadratic optimal control problems (49N10) Applications of Brownian motions and diffusion theory (population genetics, absorption problems, etc.) (60J70)
Related Items (1)
Cites Work
- Unnamed Item
- Integro-PDE in Hilbert spaces: existence of viscosity solutions
- Functional regular variation of Lévy-driven multivariate mixed moving average processes
- Modeling and computation of an integral operator Riccati equation for an infinite-dimensional stochastic differential equation governing streamflow discharge
- Likelihood theory for the graph Ornstein-Uhlenbeck process
- Designing cost-efficient inspection schemes for stochastic streamflow environment using an effective Hamiltonian approach
- Linear-quadratic control for a class of stochastic Volterra equations: solvability and approximation
- Optimal control of electricity input given an uncertain demand
- Markovian lifts of positive semidefinite affine Volterra-type processes
- An algorithm for the evaluation of the incomplete gamma function
- NP-Hardness of Some Linear Control Design Problems
- Optimizing Static Linear Feedback: Gradient Method
- On a Matrix Riccati Equation of Stochastic Control
- Applied stochastic control of jump diffusions
- Probability theory. A comprehensive course
This page was built for publication: Stochastic optimization of a mixed moving average process for controlling non-Markovian streamflow environments