Soft Computing for Control of Non-Linear Dynamical Systems
The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented. The book covers the basics of fuzzy logic, neural netwo...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Heidelberg
Physica
2001, 2001
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Edition: | 1st ed. 2001 |
Series: | Studies in Fuzziness and Soft Computing
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Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Summary: | The book describes the application of soft computing techniques to modelling, simulation and control of non-linear dynamical systems. Hybrid intelligence systems, which integrate different techniques and mathematical models, are also presented. The book covers the basics of fuzzy logic, neural networks, evolutionary computation, chaos and fractal theory. It also presents in detail different hybrid architectures for developing intelligent control systems for applications in robotics, reactors, manufacturing, aircraft systems and economics |
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Physical Description: | XIV, 224 p. 64 illus online resource |
ISBN: | 9783790818321 |