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Soft Computing for Control of Non-Linear Dynamical Systems: 63 (Studies in Fuzziness and Soft Computing) - Softcover
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.
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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.
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Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)
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Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)
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Soft Computing for Control of Non-Linear Dynamical Systems (Paperback)
ISBN 10: 3662003678
ISBN 13: 9783662003671
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Paperback. Zustand: new. Paperback. 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. This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783662003671
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Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)
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Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 240 pp. Englisch. Bestandsnummer des Verkäufers 9783662003671
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Soft Computing for Control of Non-Linear Dynamical Systems
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Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2001
ISBN 10: 3662003678
ISBN 13: 9783662003671
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Zustand: New. Series: Studies in Fuzziness and Soft Computing. Num Pages: 224 pages, 64 black & white illustrations, 13 black & white tables. BIC Classification: KC; TJFM; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 12. Weight in Grams: 373. . 2001. Softcover reprint of the original 1st ed. 2001. Paperback. . . . . Bestandsnummer des Verkäufers V9783662003671
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mathematical concepts are used in combination with soft computing techniques to realize robust and adaptive control of dynamical systemsPresentation of the latest achievements in combining soft computing techniques and their applicationsThis book pr. Bestandsnummer des Verkäufers 5221103
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