Trajectory Tracking on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control

Carlos J. Vega; Edgar N. Sanchez; Guanrong Chen

doi:10.1109/LCSYS.2018.2847606

Trajectory Tracking on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control

Carlos J. Vega^*
, Edgar N. Sanchez
, Guanrong Chen

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

10 Citations (Scopus)

Abstract

In this letter, a novel control approach for complex networks with non-identical nodes is developed. This approach is based on inverse optimal pinning control to track a desired trajectory. The effectiveness of the control design is illustrated via simulations on a network with nodes being different chaotic systems.

Original language	English
Pages (from-to)	635-640
Journal	IEEE Control Systems Letters
Volume	2
Issue number	4
Online published	14 Jun 2018
DOIs	https://doi.org/10.1109/LCSYS.2018.2847606
Publication status	Published - Oct 2018

Research Keywords

chaotic system
Complex network
inverse optimal control
pinning control
trajectory tracking

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10.1109/LCSYS.2018.2847606

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@article{2979e72c77bd4905944793d9f63f0821,

title = "Trajectory Tracking on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control",

abstract = "In this letter, a novel control approach for complex networks with non-identical nodes is developed. This approach is based on inverse optimal pinning control to track a desired trajectory. The effectiveness of the control design is illustrated via simulations on a network with nodes being different chaotic systems.",

keywords = "chaotic system, Complex network, inverse optimal control, pinning control, trajectory tracking",

author = "Vega, \{Carlos J.\} and Sanchez, \{Edgar N.\} and Guanrong Chen",

year = "2018",

month = oct,

doi = "10.1109/LCSYS.2018.2847606",

language = "English",

volume = "2",

pages = "635--640",

number = "4",

}

TY - JOUR

T1 - Trajectory Tracking on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control

AU - Vega, Carlos J.

AU - Sanchez, Edgar N.

AU - Chen, Guanrong

PY - 2018/10

Y1 - 2018/10

N2 - In this letter, a novel control approach for complex networks with non-identical nodes is developed. This approach is based on inverse optimal pinning control to track a desired trajectory. The effectiveness of the control design is illustrated via simulations on a network with nodes being different chaotic systems.

AB - In this letter, a novel control approach for complex networks with non-identical nodes is developed. This approach is based on inverse optimal pinning control to track a desired trajectory. The effectiveness of the control design is illustrated via simulations on a network with nodes being different chaotic systems.

KW - chaotic system

KW - Complex network

KW - inverse optimal control

KW - pinning control

KW - trajectory tracking

UR - https://www.scopus.com/pages/publications/85057641941

UR - https://www.scopus.com/pages/publications/85057641941#tab=impact

U2 - 10.1109/LCSYS.2018.2847606

DO - 10.1109/LCSYS.2018.2847606

M3 - RGC 21 - Publication in refereed journal

SN - 2475-1456

VL - 2

SP - 635

EP - 640

JO - IEEE Control Systems Letters

JF - IEEE Control Systems Letters

IS - 4

ER -

Trajectory Tracking on Complex Networks with Non-Identical Chaotic Nodes via Inverse Optimal Pinning Control

Abstract

Research Keywords

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