Condizione: Used: Good. 2003 hardcover no dj as issued xlibrary copy withdrawn stamp on edge of pages/ in book clean text 171 pages::: J-11.
Da: Peak Pearl LLC, Holly Springs, NC, U.S.A.
Hardcover. Condizione: As New. Like new, never been used.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 114,76
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Aggiungi al carrelloCondizione: New.
Da: California Books, Miami, FL, U.S.A.
EUR 117,11
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 127,01
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 115,41
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Aggiungi al carrelloCondizione: New. In.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 194.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 129,22
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Da: moluna, Greven, Germania
EUR 127,59
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Aggiungi al carrelloCondizione: New. COMPLEX NONLINEAR SYSTEMS ARE WIDESPREAD - THE READER WILL BE ABLE TO TREAT THEM AS SIMPLER LINEAR SYSTEMS. THESE ARE EASIER AND LESS EXPENSIVE TO DEAL WITH. THE READER WILL BE MADE AWARE OF THE MOST UP-TO-DATE RESEARCH IN THE APPLICATION OF NEURAL NETWORKS.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 165,59
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Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 156,86
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - The last few decades have witnessed tremendous developments in nonlinear control theory. One of the most important of these is the model-based method of feedback linearisation in which a nonlinear system is transformed into a linear system by means of state feedback and nonlinear transformations. After feedback linearisation, a system can be dealt with by linear controller design. The extension of these techniques to include MIMO systems allows for the further simplification of controller design by decoupling the system. Strategies for Feedback Linearisation demonstrates this powerful technique in the light of research on neural networks which allow the identification of nonlinear models without the complicated and costly development of models based on physical laws. Dynamic or recurrent neural networks have inherent properties that allow them to approximate nonlinear dynamic systems. Strategies for the identification of nonlinear systems using such neural networks are presented in this monograph together with the use of such models for the design and application of input-output linearisation and decoupling methods. Strategies for Feedback Linearisation is written to serve academic and industrial researchers in non-linear control and system identification and practising control engineers interested in their application to real-world industrial systems. The reader will gain a balanced view of theoretical and practical issues: relevant mathematical proofs are provided as are case studies illustrating design and application issues.
Da: Majestic Books, Hounslow, Regno Unito
EUR 147,21
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 194 57 Illus.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 148,30
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 194.