Complex dynamical network control for trajectory tracking using delayed recurrent neural networks

DOI10.1155/2014/162610zbMath1407.93235OpenAlexW2042523453WikidataQ59063393 ScholiaQ59063393MaRDI QIDQ1717800

Angel Flores Hemandez, Santiago Arroyo, Jose P. Perez, Joel Perez Padron

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/162610

Mathematics Subject Classification ID

Control/observation systems involving computers (process control, etc.) (93C83) Control/observation systems governed by functional-differential equations (93C23)

Cites Work

• Unnamed Item
• Stabilization of nonlinear uncertain systems
• The Structure and Function of Complex Networks
• Input-to-state stability (ISS) analysis for dynamic neural networks
• Pinning a Complex Dynamical Network to Its Equilibrium
• COMPLEX NETWORKS: TOPOLOGY, DYNAMICS AND SYNCHRONIZATION
• LMI-based approach for asymptotically stability analysis of delayed neural networks

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