Trajectory Tracking on Complex Networks via Inverse Optimal Pinning Control
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 767-774 |
Journal / Publication | IEEE Transactions on Automatic Control |
Volume | 64 |
Issue number | 2 |
Online published | 10 May 2018 |
Publication status | Published - Feb 2019 |
Link(s)
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 journal › peer-review