Results 71 to 80 of about 14,274 (262)
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang +6 more
wiley +1 more source
Characterization of Optimal Feedback for SLQ with General Filtration
One of the fundamental issues in Control Theory is to design feedback controls. Which is well achieved in the case of linear quadratic control problems.
REN Yan
doaj
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
In 1968, Wonham proposed the stochastic linear quadratic optimal control problem.Subsequently, in 1976 Bismut began to study the stochastic linear quadratic optimal control problems with random coefficients.Until 1998, Chen, Li, and Zhou successfully ...
ZHANG Xian-Feng
doaj
A novel unified variational finite difference (VFD) solution method for optimal control problems
This article is aimed to propose a simple yet efficient unified numerical strategy for solving both linear and non-linear optimal control problems. To do so, the general form of quadratic performance index function and nonlinear state equations are ...
Amir Norouzzadeh +2 more
doaj +1 more source
WALSH FUNCTIONS IN LINEAR- QUADRATIC OPTIMIZATION PROBLEMS OF LINEAR NONSTATIONARY SYSTEMS
Currently, the solution of the problems of analytical design of the optimal controller (ADOC) for stationary dynamic objects is well studied and a number of works are devoted to them.
О.А. Стенін +2 more
doaj +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Factorization machine with iterative quantum reverse annealing (FMIRA) leverages quantum reverse annealing to perform batch black‐box optimization. Factorization machine with quantum annealing (FMQA) is a widely used python package for solving black‐box optimization problems using D‐Wave quantum annealers.
Andrejs Tučs, Ryo Tamura, Koji Tsuda
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
The Linear Quadratic Optimal Control Problem for Stochastic Systems Controlled by Impulses
This paper focuses on addressing the linear quadratic (LQ) optimal control problem on an infinite time horizon for stochastic systems controlled by impulses. No constraint regarding the sign of the quadratic functional is applied. That is why our first concern is to find conditions which guarantee that the considered optimal control problem is well ...
Vasile Dragan, Ioan-Lucian Popa
openaire +1 more source

