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...
Κύριοι συγγραφείς: | , |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Heidelberg :
Physica-Verlag HD : Imprint: Physica,
2001.
|
Έκδοση: | 1st ed. 2001. |
Σειρά: | Studies in Fuzziness and Soft Computing,
63 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | 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. |
---|---|
Φυσική περιγραφή: | XIV, 224 p. 64 illus. online resource. |
ISBN: | 9783790818321 |
ISSN: | 1434-9922 ; |
DOI: | 10.1007/978-3-7908-1832-1 |