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Practical Methods for Optimal Control Using Nonlinear Programming

Practical Methods for Optimal Control Using Nonlinear Programming

£46.00

Part of Advances in Design and Control

  • Date Published: May 2001
  • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • format: Hardback
  • isbn: 9780898714883

£ 46.00
Hardback

This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
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  • This is quite possibly the first book on practical methods that combines nonlinear optimization, mathematical control theory, and numerical solution of ordinary differential or differential-algebraic equations to successfully solve optimal control problems. The focus of the book is on practical methods, i.e., methods that the author has found to actually work. Everything described in the book has been implemented in production software and used to solve real problems. The author's general discussion of the topic maintains a focused and concise presentation. Using modern computational methods based on nonlinear programming algorithms, he introduces the basic material necessary to solve an optimal control problem. There are two major parts of a successful optimal control solution technique. The first part is the optimization method. The second part is the differential equation method. Betts's goal is to suggest that methods used to solve differential equations and optimize the functions are intimately related.

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    Product details

    • Date Published: May 2001
    • format: Hardback
    • isbn: 9780898714883
    • length: 200 pages
    • dimensions: 260 x 185 x 15 mm
    • weight: 0.591kg
    • availability: This item is not supplied by Cambridge University Press in your region. Please contact Soc for Industrial & Applied Mathematics for availability.
  • Table of Contents

    Preface
    1. Introduction to nonlinear programming
    2. Large, sparse nonlinear programming
    3. Optimal control preliminaries
    4. The optimal control problem
    5. Optimal control examples
    Appendix A. Software
    Bibliography, Index.

  • Author

    John T. Betts

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