Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)

Castillo, Oscar; Melin, Patricia

ISBN 10: 3662003678 / ISBN 13: 9783662003671

Verlag: Physica, 2012

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Inhaltsangabe:

This book presents a unified view of modelling, simulation, and control of non­ linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don’t have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.

Von der hinteren Coverseite: 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.

Bibliografische Details

Titel: Soft Computing for Control of Non-Linear ...
Verlag: Physica
Erscheinungsdatum: 2012
Einband: Softcover
Zustand: New