Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering - An Approach Based on Symmetry and Similarity (Hardcover, 2015 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Studies in Systems, Decision and Control, 14
Release date:	November 2014
First published:	2015
Authors:	Jaime Nava • Vladik Kreinovich
Dimensions:	235 x 155 x 11mm (L x W x T)
Format:	Hardcover
Pages:	155
Edition:	2015 ed.
ISBN-13:	978-3-662-44954-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-662-44954-4
Barcode:	9783662449547

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