Soft Computing for Control of Non-Linear Dynamical Systems

• Main Authors: Castillo, Oscar (Author, http://id.loc.gov/vocabulary/relators/aut), Melin, Patricia (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2001.
• Edition: 1st ed. 2001.
• Series: Studies in Fuzziness and Soft Computing, 63
• Subjects: Artificial intelligence.; Control engineering.; Robotics.; Mechatronics.; Economic theory.; Calculus of variations.; Artificial Intelligence.; Control and Systems Theory.; Control, Robotics, Mechatronics.; Economic Theory/Quantitative Economics/Mathematical Methods.; Calculus of Variations and Optimal Control; Optimization.
• Physical Description: XIV, 224 p. 64 illus. online resource.
• ISBN: 9783790818321
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1832-1

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.