Nonlinear Pinning Control of Complex Dynamical Networks: Analysis and Applications

di Edgar N. Sanchez (Autore)

Carlos J. Vega (Autore)

Oscar J. Suarez (Autore)

Taylor & Francis Ltd, 2023

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.

• Autore: Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez
• Editore: Taylor & Francis Ltd
• Collana: Automation and Control Engineering
• Anno: 2023
• Rilegatura: Paperback / softback
• Pagine: 202 p.
• Dimensioni: 234 x 156 mm
• Peso: 453 gr.
• EAN: 9781032020938

Testo in English