Name: Nonlinear Pinning Control of Complex Dynamical Networks (Automation and Control Engineering) (en Inglés)
Price: 17760.00 CLP
Availability: InStock
Author: Edgar N. Sanchez Carlos J. Vega Oscar J. Suarez G. Chen
ISBN: 9789587946710

portada Nonlinear Pinning Control of Complex Dynamical Networks (Automation and Control Engineering) (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Edgar N. Sanchez Carlos J. Vega Oscar J. Suarez G. Chen

Idioma

Inglés

N° páginas

228

Encuadernación

Tapa Blanda

ISBN13

9789587946710

N° edición

Nonlinear Pinning Control of Complex Dynamical Networks (Automation and Control Engineering) (en Inglés)

Edgar N. Sanchez Carlos J. Vega Oscar J. Suarez G. Chen (Autor) · Crc Press · Tapa Blanda

Libro Nuevo

$ 17.760

$ 32.290

Ahorras: $ 14.530

45% descuento

Envío normal

Origen: Colombia (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 10 de Mayo y el Lunes 20 de Mayo.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Nonlinear Pinning Control of Complex Dynamical Networks (Automation and Control Engineering) (en Inglés)"

This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning.The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.