Neural Networks Modeling and Control - Applications for Unknown Nonlinear Delayed Systems in Discrete Time (Paperback)

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and control of discrete-time unknown nonlinear delayed systems under uncertainties based on Artificial Neural Networks. First, a Recurrent High Order Neural Network (RHONN) is used to identify discrete-time unknown nonlinear delayed systems under uncertainties, then a RHONN is used to design neural observers for the same class of systems. Therefore, both neural models are used to synthesize controllers for trajectory tracking based on two methodologies: sliding mode control and Inverse Optimal Neural Control. As well as considering the different neural control models and complications that are associated with them, this book also analyzes potential applications, prototypes and future trends.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Release date:	2020
First published:	2020
Authors:	Jorge D. Rios • Alma Y. Alanis • Nancy Arana-Daniel • Carlos Lopez-Franco
Series editors:	Edgar N. Sanchez
Dimensions:	235 x 191mm (L x W)
Format:	Paperback
Pages:	158
ISBN-13:	978-0-12-817078-6
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
LSN:	0-12-817078-6
Barcode:	9780128170786

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