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  • Language: English

    Published by Springer, 2012

    3642287794 / 9783642287794

    • Softcover

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    Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.…

  • Language: English

    Published by CRC Press, 1997

    074840595X / 9780748405954

    Series: Book 4 of 7 - Series in Systems and Control

    • Hardcover

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  • Language: English

    Published by CRC Press, 1997

    074840595X / 9780748405954

    Series: Book 4 of 7 - Series in Systems and Control

    • Hardcover

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  • Language: English

    Published by Springer Berlin Heidelberg, 2012

    3642287794 / 9783642287794

    • Softcover

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  • Language: English

    Published by Springer, 2012

    3642287794 / 9783642287794

    • Softcover

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    Condition: New. pp. 250.

  • Language: English

    Published by Springer Berlin Heidelberg, 2012

    3642287794 / 9783642287794

    • Softcover

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers.…

  • Language: English

    Published by Springer Verlag, 2012

    3642287794 / 9783642287794

    • Softcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

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    Paperback. Condition: Brand New. 2012 edition. 248 pages. 9.25x6.10x0.59 inches. In Stock.

  • Language: English

    Published by CRC Press, 1997

    074840595X / 9780748405954

    Series: Book 4 of 7 - Series in Systems and Control

    • Hardcover

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  • Language: English

    Published by CRC Press, 1997

    074840595X / 9780748405954

    Series: Book 4 of 7 - Series in Systems and Control

    • Hardcover

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  • Language: English

    Published by Springer Berlin Heidelberg Mrz 2012, 2012

    3642287794 / 9783642287794

    • Softcover
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    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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    Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process industries. The main motivation behind explicit NMPC is that an explicit state feedback law avoids the need for executing a numerical optimization algorithm in real time. The benefits of an explicit solution, in addition to the efficient on-line computations, include also verifiability of the implementation and the possibility to design embedded control systems with low software and hardware complexity.This book considers the multi-parametric Nonlinear Programming (mp-NLP) approaches to explicit approximate NMPC of constrained nonlinear systems, developed by the authors, as well as their applications to various NMPC problem formulations and several case studies. The following types of nonlinear systems are considered, resulting in different NMPC problem formulations:Ø Nonlinear systems described by first-principles models and nonlinear systems described by black-box models;- Nonlinear systems with continuous control inputs and nonlinear systems with quantized control inputs;- Nonlinear systems without uncertainty and nonlinear systems with uncertainties (polyhedral description of uncertainty and stochastic description of uncertainty);- Nonlinear systems, consisting of interconnected nonlinear sub-systems.The proposed mp-NLP approaches are illustrated with applications to several case studies, which are taken from diverse areas such as automotive mechatronics, compressor control, combustion plant control, reactor control, pH maintaining system control, cart and spring system control, and diving computers. 248 pp. Englisch.…

  • Language: English

    Published by Springer, 2012

    3642287794 / 9783642287794

    • Softcover
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    Condition: New. Print on Demand pp. 250 66 Illus. (17 Col.).

  • Language: English

    Published by Springer, 2012

    3642287794 / 9783642287794

    • Softcover
    • Print on Demand

    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 250.