Results 51 to 60 of about 638 (186)
Optimal tracking control for high-order partially unknown nonlinear systems poses significant challenges, particularly in deriving tractable solutions without requiring persistent excitation (PE) conditions or precise system models.
Dengguo Xu +3 more
doaj +1 more source
ABSTRACT Basophils, the least abundant leukocytes, are increasingly recognised as potent immunomodulators. Upon activation, they rapidly release preformed granule‐associated mediators including histamine and lipid mediators such as LTC4, while cytokine production occurs over a longer timescale, contributing to downstream immune responses.
Jitesh Chauhan +5 more
wiley +1 more source
ABSTRACT Geochemical analysis of five brooch types from the Lower Rhine area dated to the last century bc and first century ad is used to constrain resource use, exchange and mobility. Lead isotope ratios demonstrate an Iberian provenance for copper in bronze Late Iron Age brooches.
A. A. T. Ruiter +4 more
wiley +1 more source
Dynamic Programming and Hamilton–Jacobi–Bellman Equations on Time Scales
Bellman optimality principle for the stochastic dynamic system on time scales is derived, which includes the continuous time and discrete time as special cases.
Yingjun Zhu, Guangyan Jia
doaj +1 more source
ABSTRACT Objective To evaluate the maintenance of basic Motivational Interviewing (MI) skills acquired by professionals from oral health teams of a Primary Health Care service 10 years after the initial training. Methods This study consists of the follow‐up of a prospective cohort (Cárie Zero Cohort).
Mariana Loch dos Reis +3 more
wiley +1 more source
Regular and exploratory resource extraction models considering sustainability
We formulate an optimal control problem of resource extraction, where a decision maker with sustainability concern dynamically controls the extraction rate. We assume harvesting to increase profit and incur a risk of resource depletion and aim to resolve
Hidekazu Yoshioka
doaj +1 more source
Reinforcement Learning for Jump‐Diffusions, With Financial Applications
ABSTRACT We study continuous‐time reinforcement learning (RL) for stochastic control in which system dynamics are governed by jump‐diffusion processes. We formulate an entropy‐regularized exploratory control problem with stochastic policies to capture the exploration–exploitation balance essential for RL.
Xuefeng Gao, Lingfei Li, Xun Yu Zhou
wiley +1 more source
Equilibrium Reward for Liquidity Providers in Automated Market Makers
ABSTRACT We find the equilibrium contract that an automated market maker (AMM) offers to their strategic liquidity providers (LPs) in order to maximize the order flow that gets processed by the venue. Our model is formulated as a leader–follower stochastic game, where the venue is the leader and a representative LP is the follower.
Alif Aqsha +2 more
wiley +1 more source
A New Scheme for Discrete HJB Equations
In this paper we propose a relaxation scheme for solving discrete HJB equations based on scheme II [1] of Lions and Mercier. The convergence of the new scheme has been established. Numerical example shows that the scheme is efficient.
openaire +2 more sources
In this paper, we propose a novel image restoration framework that integrates optimal control techniques with the Hamilton–Jacobi–Bellman (HJB) equation.
Dragos-Patru Covei
doaj +1 more source

