Soft Computing for Control of Non-Linear Dynamical Systems
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 63)
About this book
Introduction
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.
Keywords
Evolutionary Computation Fuzzy Fuzzy Logic Fuzzy-Logik Hybrid Intelligent Systems Intelligent Control Neural Networks Neuronale Netze Soft Computing Applications calculus classification cognition genetic algorithms robot robotics
Bibliographic information
- DOI https://doi.org/10.1007/978-3-7908-1832-1
- Copyright Information Physica-Verlag Heidelberg 2001
- Publisher Name Physica, Heidelberg
- eBook Packages Springer Book Archive
- Print ISBN 978-3-662-00367-1
- Online ISBN 978-3-7908-1832-1
- Series Print ISSN 1434-9922
- Series Online ISSN 1860-0808
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