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Details for:
Sanchez E. Nonlinear Pinning Control...Dynamical Networks...2021
sanchez e nonlinear pinning control dynamical networks 2021
Type:
E-books
Files:
1
Size:
11.3 MB
Uploaded On:
Aug. 14, 2021, 6:58 a.m.
Added By:
andryold1
Seeders:
1
Leechers:
0
Info Hash:
B6E3FA702F32AE7CB840414E4C0BD6B1621AE00E
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Textbook in PDF format 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
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Sanchez E. Nonlinear Pinning Control...Dynamical Networks...2021.pdf
11.3 MB
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