Nonlinear Pinning Control of Complex Dynamical Networks

ISBN-13: 9781032020938 / Miękka / 2023 / 202 str.

Hong Kong.) Chen Guanrong (City Univ

Opis

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.

Spis treści

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.

O autorze

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.