Nonlinear Pinning Control Of Complex Dynamical Networks: Analysis And Applications (Automation And Control Engineering)

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.

• | Author: Edgar N Sanchez, Taylor & Francis Group, Carlos J Vega, Oscar J Suarez, Guanrong Chen
• | Publisher: CRC Press
• | Publication Date: 20-Aug-21
• | Number of Pages: 202 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 1032020873
• | ISBN-13: 9781032020877