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Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications

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Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications Paperback - 2023

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

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CRC Pr I Llc, 2023. Paperback. New. 228 pages. 9.19x6.13x0.52 inches.
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Details

  • Title Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications
  • Author Sanchez, Edgar N./ Vega, Carlos J./ Suarez, Oscar J./ Chen, Guanrong
  • Binding Paperback
  • Condition New
  • Pages 202
  • Volumes 1
  • Language ENG
  • Publisher CRC Pr I Llc
  • Publication date 2023
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # x-1032020938
  • ISBN 9781032020938 / 1032020938
  • Weight 0.72 lbs (0.33 kg)
  • Dimensions 9.21 x 6.14 x 0.48 in (23.39 x 15.60 x 1.22 cm)
  • Category Technology & Industrial Arts
  • Quantity available 2

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From the publisher

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 Tecnologa e Innovacin (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.

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