Abstract: This paper investigates optimal tracking control of linear stochastic systems with multiplicative state-dependent and input-dependent noise via a novel model-free integral reinforcement ...

Dissatisfaction is expressed with aspects of the current exposition of linear models, including the neglect of marginality, unnecessary differences between models for finite and infinite populations, ...

Abstract: This article investigates the nonlinear model predictive control (NMPC) for electric bus operations (EBOs) under dynamic environments, based on the generalized disjunctive programming (GDP) ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

We investigate the extension of the nonparametric regression technique of local polynomial fitting with a kernel weight to generalized linear models and quasi-likelihood contexts. In the ordinary ...

LLMs are strong at coding, but their ability to write symbolic graphics programs (SGPs) that render images (especially SVGs) is underexplored. This work studies text-to-SGP generation as a probe of ...

An AI-Driven Digital Organism (AIDO) is a system of integrated multiscale foundation models for predicting, simulating and programming biology at all levels. It is constructed in a modular, ...