ENGLISH

Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering: An Approach Based on Symmetry and Similarity

By Vladik Kreinovich (auth.) , Jaime Nava

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2015
ISBN
978-3-662-44954-7, 978-3-662-44955-4
DOI
10.1007/978-3-662-44955-4
Language
english
Format
PDF
Filesize
3 MB (2752098 bytes)
Series
Studies in Systems, Decision and Control 14
Edition
1
Pages
155\160
Time added
2014-11-10 20:00:00
Computational Intelligence; Artificial Intelligenc

Description

This book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. A typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. In mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance. This book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. Applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. Specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.

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