CrossRef Open Access 2020 4 sitasi

Neural-Impulsive Pinning Control for Complex Networks Based on V-Stability

Daniel Ríos-Rivera Alma Y. Alanis Edgar N. Sanchez

Abstrak

In this work, a neural impulsive pinning controller for a twenty-node dynamical discrete complex network is presented. The node dynamics of the network are all different types of discrete versions of chaotic attractors of three dimensions. Using the V-stability method, we propose a criterion for selecting nodes to design pinning control, in which only a small fraction of the nodes is locally controlled in order to stabilize the network states at zero. A discrete recurrent high order neural network (RHONN) trained with extended Kalman filter (EKF) is used to identify the dynamics of controlled nodes and synthesize the control law.

Penulis (3)

Daniel Ríos-Rivera

Alma Y. Alanis

Edgar N. Sanchez

Format Sitasi

APA MLA BibTeX

Ríos-Rivera, D., Alanis, A.Y., Sanchez, E.N. (2020). Neural-Impulsive Pinning Control for Complex Networks Based on V-Stability. https://doi.org/10.3390/math8091388

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Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 4×
Sumber Database: CrossRef
DOI: 10.3390/math8091388
Akses: Open Access ✓