Trajectory Tracking on Complex Networks via Inverse Optimal Pinning Control

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

6 Scopus Citations
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Author(s)

  • Carlos J. Vega
  • Oscar J. Suarez
  • Edgar N. Sanchez
  • Santiago Elvira-Ceja
  • David Rodriguez-Castellanos

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)767-774
Journal / PublicationIEEE Transactions on Automatic Control
Volume64
Issue number2
Online published10 May 2018
Publication statusPublished - Feb 2019

Abstract

In this technical note, a novel approach to trajectory tracking control of a complex network is presented, based on the idea and technique of inverse optimal pinning control. A control law which stabilizes the tracking error dynamics is developed. This controller allows different coupling strengths, and simultaneously minimizing an associated cost functional. Chaotic systems are considered to illustrate the applicability of the new methodology and the proposed controller effectiveness via simulations.

Research Area(s)

  • chaos, Complex network, optimal control, pinning control, trajectory tracking

Citation Format(s)

Trajectory Tracking on Complex Networks via Inverse Optimal Pinning Control. / Vega, Carlos J.; Suarez, Oscar J.; Sanchez, Edgar N.; Chen, Guanrong; Elvira-Ceja, Santiago; Rodriguez-Castellanos, David.

In: IEEE Transactions on Automatic Control, Vol. 64, No. 2, 02.2019, p. 767-774.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review