Name: Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time (en Inglés)
Price: 540615.00 COP
Availability: InStock
Author: Jorge D. Rios; Alma Y. Alanis; Nancy Arana-Daniel
ISBN: 9780128170786

portada Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time (en Inglés)

Formato

Libro Físico

Editorial

Academic Press

Autor

Jorge D. Rios; Alma Y. Alanis; Nancy Arana-Daniel

Año

2020

Idioma

Inglés

N° páginas

158

Encuadernación

Tapa Blanda

ISBN13

9780128170786

N° edición

Categorías

Biotecnología

Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time (en Inglés)

Jorge D. Rios; Alma Y. Alanis; Nancy Arana-Daniel (Autor) · Academic Press · Tapa Blanda

Libro Físico

$ 540.615

$ 831.715

Ahorras: $ 291.100

35% descuento

Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Lunes 03 de Junio y el Martes 11 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Neural Networks Modeling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time (en Inglés)"

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.Provide in-depth analysis of neural control models and methodologiesPresents a comprehensive review of common problems in real-life neural network systemsIncludes an analysis of potential applications, prototypes and future trends