Nonlinear Pinning Control of Complex Dynamical Networks
CRC Press
Nonlinear Pinning Control of Complex Dynamical NetworksAnalysis and Applications\nAuthor(s): Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez, Guanrong Chen\nFormat: Hardback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: CRC Press\nISBN-13: 9781032020877, 978-1032020877\nSynopsis\nThis 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.\n\nThe 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 als.
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