Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications

Sanchez, Edgar N./ Vega, Carlos J./ Suarez, Oscar J./ Chen, Guanrong

ISBN 10: 1032020938 / ISBN 13: 9781032020938

Published by CRC Pr I Llc, 2023

About this Item

228 pages. 9.19x6.13x0.52 inches. In Stock.

Seller Inventory # x-1032020938

Bibliographic Details

• Title: Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications
• Publisher: CRC Pr I Llc
• Publication Date: 2023
• Language: English
• ISBN 10: 1032020938
• ISBN 13: 9781032020938
• Binding: Paperback
• Condition: Brand New
• Weight: 0.45 kilograms

About this title

Synopsis

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.

About the Author

Edgar N. Sanchez works at CINVESTAV-IPN, Guadalajara Campus, Mexico, as a professor of electrical engineering graduate programs.

Carlos J. Vega received D.Sc. in Electrical Engineering degree from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara, Mexico in 2020. His research interests include complex networks, nonlinear control, inverse optimal control, neural networks, and power systems.

Oscar J. Suarez is a Professor of engineering programs for undergraduate and graduate programs both in Colombia and Mexico. Currently, he is a Junior Research fellow of the Ministerio de Ciencia Tecnología e Innovación (Minciencias) in Colombia.

Guanrong Chen has been a Chair Professor and the Founding Director of the Centre for Chaos and Complex Networks, City University of Hong Kong, Hong Kong, since 2000.