A distributed stochastic model predictive control (DSMPC) algorithm is proposed for the cooperative control of a heterogeneous unmanned aerial vehicle (UAV) swarm in the presence of external ...
Background and MotivationAccurately pricing American-style options, which allow early exercise at any time before expiry, remains a significant ...
In engineering design, the traditional “deterministic” modelling approach assumes fixed values for loads, material properties ...
Abstract: A two-layer stochastic model predictive control (MPC) framework is proposed in this article to address uncertainties associated with electric vehicles (EVs) in microgrid energy management.
ABSTRACT: This paper presents a stochastic model for simulating the dynamic evolution of individual well-being, or happiness. Happiness is conceptualized as an emergent property of an interconnected ...
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Département de Mathématiques, Unité de Recherche et de Formation en Sciences Exactes et Appliquées, Université Joseph KI-ZERBO, Ouagadougou, Burkina Faso. The article is structured as follows: In ...
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan, China This paper proposes a novel deep learning model incorporating attention mechanisms for the ...
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