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    Station Eleven

    Emily St. John Mandel 9780385353304

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Discrete-Time High Order Neural Control: Trained with Kalman Filtering

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Discrete-Time High Order Neural Control: Trained with Kalman Filtering Cover

 

Synopses & Reviews

Publisher Comments:

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, that 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 final chapter presents experimental results related to their application to a 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 sate 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.

Product Details

ISBN:
3330000242344
Subtitle:
Trained with Kalman Filtering
Publisher:
Springer
Author:
García, Alma Yolanda Alanís
Author:
García, Alma Yolanda Alanís
Author:
Loukianov, Alexander G.
Author:
Alanis, Alma Y.
Author:
Alanís, Alma Y.
Author:
Sanchez, Edgar N.
Subject:
Applied
Subject:
Artificial Intelligence - General
Subject:
Physics
Subject:
Intelligence (AI) & Semantics
Subject:
Artificial Intelligence - Fuzzy Logic
Subject:
Engineering-General Engineering
Subject:
Mathematics-Applied
Subject:
main_subject
Subject:
all_subjects
Publication Date:
20081001
Binding:
ELECTRONIC
Language:
English
Pages:
108

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Artificial Intelligence » Robotics
Engineering » Engineering » General Engineering
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Applied
Science and Mathematics » Mathematics » Systems Theory
Science and Mathematics » Physics » General

Discrete-Time High Order Neural Control: Trained with Kalman Filtering
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Product details 108 pages Springer - English 3330000242344 Reviews:
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