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Computational analysis of stochastic delay dynamics in maize streak virus. [PDF]

PLoS ONE
ObjectivesThe primary goal of this research is to analyze the transmission dynamics of Maize Streak Virus (MSV) by means of a computational and stochastic modeling technique where the time delay and uncertainty factors in the epidemic process are vital ...
Sana Iqbal, Naveed Shahid, Ali Raza, Marek Lampart, Nauman Ahmed, Dumitru Baleanu, Hala H Taha   +6 more
doaj   +2 more sources

A non-standard computational method for stochastic anthrax epidemic model

AIP Advances, 2023
This study employing a non-standard computational method for a stochastic anthrax epidemic model can enhance accuracy, evaluate control measures, and identify critical factors. The mathematical modeling of an anthrax disease includes the four-compartment
Wafa F. Alfwzan, Kinda Abuasbe, Ali Raza, Muhammad Rafiq, Muath Awadalla, Muna A. Almulla   +5 more
doaj   +1 more source

Modelling Infectious Disease Dynamics: A Robust Computational Approach for Stochastic SIRS with Partial Immunity and an Incidence Rate

Mathematics, 2023
For decades, understanding the dynamics of infectious diseases and halting their spread has been a major focus of mathematical modelling and epidemiology.
Amani S. Baazeem, Yasir Nawaz, Muhammad Shoaib Arif, Kamaleldin Abodayeh, Mae Ahmed AlHamrani   +4 more
doaj   +1 more source

Using Stochastic Approximation Methods to Compute Optimal Base-Stock Levels in Inventory Control Problems [PDF]

Operations Research, 2008
In this paper, we consider numerous inventory control problems for which the base-stock policies are known to be optimal, and we propose stochastic approximation methods to compute the optimal base-stock levels. The existing stochastic approximation methods in the literature guarantee that their iterates converge, but not necessarily to the optimal ...
Sumit Kunnumkal, Huseyin Topaloglu
openaire   +1 more source

An Investigation into Accuracy, Computation, and Robustness of Stochastic Linearization of Systems with Saturation Nonlinearities

Results in Control and Optimization, 2021
Quasilinear Control (QLC) is a theory with a set of tools that can be used for the analysis and design of stochastic feedback control systems with nonlinear actuators and sensors.
Sarnaduti Brahma, Timothy Foley, Sam Wisotzki, Hamid R. Ossareh   +3 more
doaj   +1 more source

Flexible Load Stochastic Optimal Control of Wind Power-Based Hydrogen Production and Ammonia Synthesis Systems Based on the Itô Process

Zhongguo dianli, 2023
Wind power-based hydrogen production and ammonia synthesis (P2A) is one of the potential technical routes for large-scale renewable energy consumption and carbon emission reduction in the power and chemical industries. Taking power-to-hydrogen production
Guoshan YANG, Jie ZHU, Wenqin SONG, Yiwei QIU, Buxiang ZHOU   +4 more
doaj   +1 more source

A recursive Riccati interior-point method for chance-constrained stochastic model predictive control

SICE Journal of Control, Measurement, and System Integration, 2023
This study covers the model predictive control of linear discrete-time systems subject to stochastic additive disturbances and state chance constraints.
Jingyu Zhang, Toshiyuki Ohtsuka
doaj   +1 more source

Efficient Ensemble-Based Stochastic Gradient Methods for Optimization Under Geological Uncertainty

Frontiers in Earth Science, 2020
Ensemble-based stochastic gradient methods, such as the ensemble optimization (EnOpt) method, the simplex gradient (SG) method, and the stochastic simplex approximate gradient (StoSAG) method, approximate the gradient of an objective function using an ...
Hoonyoung Jeong, Hoonyoung Jeong, Hoonyoung Jeong, Alexander Y. Sun, Jonghyeon Jeon, Baehyun Min, Daein Jeong   +6 more
doaj   +1 more source

Noise-Immune Machine Learning and Autonomous Grid Control

IEEE Open Access Journal of Power and Energy, 2023
Most recently, stochastic control methods such as deep reinforcement learning (DRL) have proven to be efficient and quick converging methods in providing localized grid voltage control.
James Obert, Rodrigo D. Trevizan, Adrian Chavez   +2 more
doaj   +1 more source

Multi-Objective LQG Design with Primal-Dual Method

Mathematics, 2023
The objective of this paper is to investigate a multi-objective linear quadratic Gaussian (LQG) control problem. Specifically, we examine an optimal control problem that minimizes a quadratic cost over a finite time horizon for linear stochastic systems ...
Donghwan Lee
doaj   +1 more source