Edgar N. Sanchez, Carlos J. Vega, Oscar J. Suarez, Guanrong Chen

Nonlinear Pinning Control of Complex Dynamical Networks (eBook, PDF)

Analysis and Applications

• Format: PDF

Produktbeschreibung

The 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. This book contains mathematical analysis, simulation examples, and real applications for the proposed schemes.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 228
• Erscheinungstermin: 19. August 2021
• Englisch
• ISBN-13: 9781000415193
• Artikelnr.: 62199361

Autorenporträt

Edgar N. Sanchez works at CINVESTAV-IPN, Guadalajara Campus, Mexico, as a professor of electrical engineering graduate programs.

Carlos J. Vega received D.Sc. in Electrical Engineering degree from the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV-IPN), Guadalajara, Mexico in 2020. His research interests include complex networks, nonlinear control, inverse optimal control, neural networks, and power systems.

Oscar J. Suarez is a Professor of engineering programs for undergraduate and graduate programs both in Colombia and Mexico. Currently, he is a Junior Research fellow of the Ministerio de Ciencia Tecnología e Innovación (Minciencias) in Colombia.

Guanrong Chen has been a Chair Professor and the Founding Director of the Centre for Chaos and Complex Networks, City University of Hong Kong, Hong Kong, since 2000.

Inhaltsangabe

I. Analyses and Preliminaries: 1. Introduction. 2. Preliminaries. II. Sliding
Mode Control: 3. Model
Based Control. 4. Neural Model. III. Optimal Control: 5. Model
based Control. 6. Neural Model. IV. Applications: 7. Pinning Control for the p53
Mdm2 Network. 8. Secondary Control of Microgrids.