Discrete-Time Recurrent Neural Control: Analysis and Applications

The book discusses recent advances in neural control theory for discrete-time nonlinear systems with multiple inputs and outputs. It includes rigorous mathematical analyses and real-time application examples, with solutions for output trajectory tracking. The book is well-organized and suitable for researchers and students in science and engineering, particularly those interested in recurrent neural control and its applications in discrete-time systems.

Format: Paperback / softback
Length: 292 pages
Publication date: 14 June 2022
Publisher: Taylor & Francis Ltd

This 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

Weight: 540g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032338965