Abstract This work develops a model predictive control (MPC) scheme using online learning of recurrent neural network (RNN) models for nonlinear systems switched between multiple operating regions following a prescribed switching schedule. Specifically, an RNN model is initially developed offline to model process dynamics using the historical ...
Cheng Hu, Yuan Cao, Zhe Wu
wiley +1 more source
The Mathematical Theory of Probabilities . By Arne Fisher, F.S.S. Translated and edited from the author's original Danish notes with the assistance of William Bonynge, B.A., with an introductory note by F. W. Frankland, F.I.A., F.A.S., F.S.S. New York, The Macmillan Company. Vol. I. Pp. ix + 171. [PDF]
H. L. Rietz
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Hierarchical Learning for Robotic Assembly Tasks Leveraging Learning from Demonstration
This paper presents a hierarchical learning approach for robotic assembly by integrating Learning from Demonstration with Deep Reinforcement Learning. The method enables long‐horizon assembly tasks with minimal demonstrations and without explicit task descriptions, improving adaptability and efficiency. It reduces reliance on predefined task sequences,
Siddharth Singh, Qing Chang, Tian Yu
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MATHEMATICAL FOUNDATIONS OF PROBABILITY THEORY
This article talks about the mathematical foundations of probability theory. Throughout the article, various ideas and considerations are explained on the basis of examples. Conclusions and suggestions are given at the end of the article.
openaire +1 more source
An Analysis of Elusive Relationships in Floating Zone Growth Using Data Mining Techniques
Ultra‐pure silicon single‐crystals can be grown by the Floating Zone (FZ) method. This study investigates intricate relationships between process stability measures and multiple growth parameters by applying data mining techniques on FZ simulations. Regression Trees identified multivariate relationships that help explaining complex interactions between
Lucas Vieira+3 more
wiley +1 more source
Role of Mathematics in Physical Sciences [PDF]
The role of mathematics in physical sciences is discussed, particularly how higher mathematics found applications in empirical problems. Several examples are given to illustrate this role.
arxiv
SyMO: A Hybrid Approach for Multi‐Objective Optimization of Crystal Growth Processes
The hybrid SyMO (Symbolic regression Multi‐objective Optimization) framework combines Computational Fluid Dynamics (CFD), machine learning, and mathematical optimization techniques to investigate the effects of various process parameters, furnace geometries, and radiation shield material properties on key crystal quality metrics in Czochralski silicon (
Milena Petkovic, Natasha Dropka
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Mathematical conceptualism [PDF]
This is an explanation and defense of "mathematical conceptualism" for a general mathematical and philosophical audience. I make a case that it is cogent, rigorous, attractive, and better suited to ordinary mathematical practice than all other foundational stances.
arxiv
A Theoretical Investigation on Coupled Mass‐charge Transport in a Binary Fluid
This study presents a theoretical framework for coupled mass‐charge transport in binary fluids using molecular dynamics simulations. By deriving governing equations from conservation laws and Onsager's theory, the approach introduces generalized diffusivity and electrostatic friction terms.
Antonio Cappai+3 more
wiley +1 more source