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Nonlinear Pinning Control of Complex Dynamical Networks - Analysis and Applications
Loot Price: R2,046
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Nonlinear Pinning Control of Complex Dynamical Networks - Analysis and Applications
Series: Automation and Control Engineering
Expected to ship within 12 - 17 working days
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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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