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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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Discrete-Time Recurrent Neural Control - Analysis and Applications (Hardcover)
Loot Price: R6,096
Discovery Miles 60 960
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Discrete-Time Recurrent Neural Control - Analysis and Applications (Hardcover)
Series: Automation and Control Engineering
Expected to ship within 12 - 17 working days
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The book presents recent advances in the theory of neural control
for discrete-time nonlinear systems with multiple inputs and
multiple outputs. The simulation results that appear in each
chapter include rigorous mathematical analyses, based on the
Lyapunov approach, to establish its properties. The book contains
two sections: the first focuses on the analyses of control
techniques; the second is dedicated to illustrating results of
real-time applications. It also provides solutions for the output
trajectory tracking problem of unknown nonlinear systems based on
sliding modes and inverse optimal control scheme. "This book on
Discrete-time Recurrent Neural Control is unique in the literature,
with new knowledge and information about the new technique of
recurrent neural control especially for discrete-time systems. The
book is well organized and clearly presented. It will be welcome by
a wide range of researchers in science and engineering, especially
graduate students and junior researchers who want to learn the new
notion of recurrent neural control. I believe it will have a good
market. It is an excellent book after all." - Guanrong Chen, City
University of Hong Kong "This book includes very relevant topics,
about neural control. In these days, Artificial Neural Networks
have been recovering their relevance and well-stablished
importance, this due to its great capacity to process big amounts
of data. Artificial Neural Networks development always is related
to technological advancements; therefore, it is not a surprise that
now we are being witnesses of this new era in Artificial Neural
Networks, however most of the developments in this research area
only focuses on applicability of the proposed schemes. However,
Edgar N. Sanchez author of this book does not lose focus and
include both important applications as well as a deep theoretical
analysis of Artificial Neural Networks to control discrete-time
nonlinear systems. It is important to remark that first, the
considered Artificial Neural Networks are development in
discrete-time this simplify its implementation in real-time;
secondly, the proposed applications ranging from modelling of
unknown discrete-time on linear systems to control electrical
machines with an emphasize to renewable energy systems. However,
its applications are not limited to these kind of systems, due to
their theoretical foundation it can be applicable to a large class
of nonlinear systems. All of these is supported by the solid
research done by the author." - Alma Y. Alanis, University of
Guadalajara, Mexico "This book discusses in detail; how neural
networks can be used for optimal as well as robust control design.
Design of neural network controllers for real time applications
such as induction motors, boost converters, inverted pendulum and
doubly fed induction generators has also been carried out which
gives the book an edge over other similar titles. This book will be
an asset for the novice to the experienced ones." - Rajesh Joseph
Abraham, Indian Institute of Space Science & Technology,
Thiruvananthapuram, India
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