Nonlinear Pinning Control of Complex Dynamical Networks Analysis and Applications

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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.

Book details

Series:
Automation and Control Engineering
Author:
Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez, Guanrong Chen
ISBN:
9781000415193
Related ISBNs:
9781032020877, 9781032020938, 9781003181804, 9781032020877, 9781032020938, 9781003181804
Publisher:
CRC Press
Pages:
202
Reading age:
Not specified
Includes images:
No
Date of addition:
2021-08-19
Usage restrictions:
Copyright
Copyright date:
2022
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Nonfiction, Technology