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This note presents a stochastic formulation of the model predictive control for tracking (MPCT), based on the results of the work of Lorenzen et al. The proposed controller ensures constraints satisfaction in probability...

We study the irreversible growth of magnetic thin films under the influence of spatially periodic fields by means of extensive Monte Carlo simulations. We find first-order pseudo-phase transitions that separate a dynamic...

Coastal management relies on the monitoring of coastal behavior, both in the short and long term, which requires a high availability of accurate and up-to-date data. Conventional in situ surveying methods are constrained...

Abstract This study applies a stochastic framework to quantify Potentially Toxic Elements (PTEs) and related risks in soils of the Maluwe–Tinga–Wasipe corridor in the Savannah Region of Ghana. A total of 729 B-horizo...

Abstract Here, we review mathematical models of epigenetic memory, focusing on chromatin modifications as key mechanisms to achieve long-term maintenance of epigenetic states. After reviewing the main stochastic modeling...

This paper aims to investigate stochastic properties of the consumption-income ratios in eleven central and eastern European (CEE) countries: Bulgaria, Croatia, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Po...

"We discuss the connections between Brownian ratchets (BR) and stochastic resonance (SR). We consider a periodic potential energy landscape with no left–right symmetry that is driven by an external force which can be ...

Abstract Lava tubes formed during the 2021 Tajogaite eruption on La Palma (Canary Islands, Spain) provide a rare opportunity to investigate the earliest stages of microbial colonization in a newly created subterranean vo...

Manufacturing variations are becoming an unavoidable issue in modern fabrication processes; therefore, it is crucial to be able to include stochastic uncertainties in the design phase. In this paper, integrated photonic ...

Subjects / keywords: LEWIS, TRACY R; CALIFORNIA INSTITUTE OF TECHNOLOGY; 333.956 L676s

Subjects / keywords: HEYMAN, DANIEL P; MCGRAW-HILL; 003 H618s

Subjects / keywords: Science: Mathematics: Probabilities. Mathematical statistics; Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods