Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications (Automation and Control Engineering)

By: and and and

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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.
Copyright:
2022

Book Details

Book Quality:
Publisher Quality
Book Size:
202 Pages
ISBN-13:
9781000415223
Related ISBNs:
9781032020877, 9781032020938, 9781003181804
Publisher:
CRC Press
Date of Addition:
Copyrighted By:
Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez and Guanrong Chen
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Technology
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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