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Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications
Hardcover
Series: Automation and Control Engineering
ISBN13: 9781032020877
Publisher: Crc Pr Inc
Published: Aug 20 2021
Pages: 202
Weight: 1.10
Height: 0.56 Width: 6.14 Depth: 9.21
Language: English
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.
1 different editions
Also available
Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications
Sanchez, Edgar N.
Vega, Carlos J.
Suarez, Oscar J.
Paperback
Also from
Sanchez, Edgar N.
Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications
Sanchez, Edgar N.
Vega, Carlos J.
Suarez, Oscar J.
Paperback
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