Studies in Computational Intelligence

Discrete-Time High Order Neural Control

Trained with Kalman Filtering

Authors: Sanchez, Edgar N., Alanís, Alma Y., Loukianov, Alexander G.

  • Presents recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs

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eBook $159.00
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  • ISBN 978-3-540-78289-6
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Hardcover $209.00
price for USA
  • ISBN 978-3-540-78288-9
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Softcover $209.00
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  • ISBN 978-3-642-09695-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

The objective of this work is to present recent advances in the theory of neural control for discrete-time nonlinear systems with multiple inputs and multiple outputs. The results that appear in each chapter include rigorous mathematical analyses, based on the Lyapunov approach, in order to guarantee its properties; in addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the book includes a chapter presenting experimental results related to their application to an electric three phase induction motor, which show the applicability of such designs. The proposed schemes could be employed for different applications beyond the ones presented in this book.

The book presents solutions for the output trajectory tracking problem of unknown nonlinear systems based on four schemes. For the first one, a direct design method is considered: the well known backstepping method, under the assumption of complete state measurement; the second one considers an indirect method, solved with the block control and the sliding mode techniques, under the same assumption. For the third scheme, the backstepping technique is reconsidering including a neural observer, and finally the block control and the sliding mode techniques are used again too, with a neural observer. All the proposed schemes are developed in discrete-time. For both mentioned control methods as well as for the neural observer, the on-line training of the respective neural networks is performed by Kalman Filtering.

Table of contents (8 chapters)

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-3-540-78289-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-3-540-78288-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-3-642-09695-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Discrete-Time High Order Neural Control
Book Subtitle
Trained with Kalman Filtering
Authors
Series Title
Studies in Computational Intelligence
Series Volume
112
Copyright
2008
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-78289-6
DOI
10.1007/978-3-540-78289-6
Hardcover ISBN
978-3-540-78288-9
Softcover ISBN
978-3-642-09695-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 110
Topics