Strategies for feedback linearisation : a dynamic neural network approach

Author(s)

    • Garces, Freddy
    • Becerra, Victor M.
    • Kambhampati, Chandrasekhar
    • Warwick, Kevin

Bibliographic Information

Strategies for feedback linearisation : a dynamic neural network approach

Freddy Garces, ... [et al.]

(Advances in industrial control)

Springer, 2003

Available at  / 3 libraries

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Note

Includes bibliographical references and index

Description and Table of Contents

Description

Using relevant mathematical proofs and case studies illustrating design and application issues, this book 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.

Table of Contents

1. Introduction.- 2. Fundamental Concepts.- 3. Introduction to Feedback Linearisation.- 4. Dynamic Neural Networks.- 5. Nonlinear System Approximation Using Dynamic Neural Networks.- 6. Feedback Linearisation Using Dynamic Neural Networks.- 7. Case Studies.- References.

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Details

  • NCID
    BA62572696
  • ISBN
    • 1852335017
  • LCCN
    2002033318
  • Country Code
    uk
  • Title Language Code
    eng
  • Text Language Code
    eng
  • Place of Publication
    London
  • Pages/Volumes
    xv, 171 p.
  • Size
    ill. : 24 cm
  • Classification
  • Parent Bibliography ID
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