Research Catalog

Discrete-time high order neural control : trained with Kalman filtering

Title
Discrete-time high order neural control : trained with Kalman filtering / Edgar N. Sanchez, Alma Y. Alanís, Alexander G. Loukianov.
Author
Sanchez, Edgar N.
Publication
Berlin : Springer, ©2008.

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TextUse in library QA76.87 .S26 2008Off-site

Details

Additional Authors
  • Alanís García, Alma Yolanda.
  • Loukianov, Alexander G.
Description
x, 108 pages : illustrations; 25 cm
Summary
"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 or 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."--Jacket
Series Statement
Studies in computational intelligence, 1860-949X ; v. 112
Uniform Title
Studies in computational intelligence ; v. 112.
Subject
  • Neural networks (Computer science)
  • Discrete-time systems
  • Nonlinear systems
  • Kalman filtering
  • Observers (Control theory)
  • Neural Networks, Computer
  • Beobachter Kybernetik
  • Kalman-Filter
  • Neuronales Netz
  • Nichtlineares System
  • Reglerentwurf
  • Zeitdiskretes System
Bibliography (note)
  • Includes bibliographical references (p. [103]-108) and index.
ISBN
  • 3540782885
  • 9783540782889
  • 9783540782896
  • 3540782893
  • 3642096956
  • 9783642096952
LCCN
  • 2008922059
  • 9783540782889
OCLC
  • ocn213479581
  • 213479581
  • SCSB-9174142
Owning Institutions
Princeton University Library