Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering / Studies in Systems, Decision and Control Bd.14 (PDF)
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,...
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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.
- Autoren: Jaime Nava , Vladik Kreinovich
- 2014, 2015, 155 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3662449552
- ISBN-13: 9783662449554
- Erscheinungsdatum: 18.10.2014
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 2.69 MB
- Ohne Kopierschutz
- Vorlesefunktion
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