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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...

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Bibliographic Details
Main Authors: Castillo, Oscar, Melin, Patricia (Author)
Format: eBook
Language:English
Published: Heidelberg Physica 2001, 2001
Edition:1st ed. 2001
Series:Studies in Fuzziness and Soft Computing
Subjects:
Control, Robotics, Automation
Artificial Intelligence
Control And Systems Theory
Calculus Of Variations And Optimization
Quantitative Economics
Control Engineering
Robotics
Econometrics
Mathematical Optimization
Automation
Calculus Of Variations
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Description
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
Physical Description:XIV, 224 p. 64 illus online resource
ISBN:9783790818321

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