Trackability-Based Cooperative Learning Control for Heterogeneous Networks

Yuxin Wu; Jian Sun

doi:10.1109/DDCLS71227.2026.11610421

Trackability-Based Cooperative Learning Control for Heterogeneous Networks

Yuxin Wu
, Jian Sun^*

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates the cooperative learning control problem for heterogeneous networks, where the cooperative perfect tracking objective is of specific interest. The cooperative trackability is first proposed for heterogeneous networks to reveal the cooperative tracking ability of agents subject to the given desired reference, for which a distributed cooperative trackability criterion is established through the interactions among agents regardless of the heterogeneous dynamics of agents. Given the cooperatively trackable desired reference, a cooperative learning control law is developed with the insertion of the complete experiences of agents at the previous iteration. In the presence of the quasi-strong connectivity, the cooperative perfect tracking objective can be realized for heterogeneous networks with agents having irregular dynamics.

Original language	English
Title of host publication	Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026
Editors	Mingxuan Sun, Ronghu Chi
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1012-1017
Number of pages	6
ISBN (Electronic)	9798319521910
DOIs	https://doi.org/10.1109/DDCLS71227.2026.11610421
Publication status	Published - 2026
Event	15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026 - Jishou, China Duration: 8 May 2026 → 11 May 2026

Publication series

Name	Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026

Conference

Conference	15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026
Country/Territory	China
City	Jishou
Period	8/05/26 → 11/05/26

Keywords

Cooperative Learning Control
Cooperative Perfect Tracking
Cooperative Trackability
Heterogeneous Network

Access to Document

10.1109/DDCLS71227.2026.11610421

Cite this

Wu, Y., & Sun, J. (2026). Trackability-Based Cooperative Learning Control for Heterogeneous Networks. In M. Sun, & R. Chi (Eds.), Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026 (pp. 1012-1017). (Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DDCLS71227.2026.11610421

Wu, Yuxin ; Sun, Jian. / Trackability-Based Cooperative Learning Control for Heterogeneous Networks. Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026. editor / Mingxuan Sun ; Ronghu Chi. Institute of Electrical and Electronics Engineers Inc., 2026. pp. 1012-1017 (Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026).

@inproceedings{be6d8a7d47fe4b0891eaa9573b1ce52f,

title = "Trackability-Based Cooperative Learning Control for Heterogeneous Networks",

abstract = "This paper investigates the cooperative learning control problem for heterogeneous networks, where the cooperative perfect tracking objective is of specific interest. The cooperative trackability is first proposed for heterogeneous networks to reveal the cooperative tracking ability of agents subject to the given desired reference, for which a distributed cooperative trackability criterion is established through the interactions among agents regardless of the heterogeneous dynamics of agents. Given the cooperatively trackable desired reference, a cooperative learning control law is developed with the insertion of the complete experiences of agents at the previous iteration. In the presence of the quasi-strong connectivity, the cooperative perfect tracking objective can be realized for heterogeneous networks with agents having irregular dynamics.",

keywords = "Cooperative Learning Control, Cooperative Perfect Tracking, Cooperative Trackability, Heterogeneous Network",

author = "Yuxin Wu and Jian Sun",

note = "Publisher Copyright: {\textcopyright} 2026 IEEE.; 15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026 ; Conference date: 08-05-2026 Through 11-05-2026",

year = "2026",

doi = "10.1109/DDCLS71227.2026.11610421",

language = "English",

series = "Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1012--1017",

editor = "Mingxuan Sun and Ronghu Chi",

booktitle = "Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026",

address = "United States",

}

Wu, Y & Sun, J 2026, Trackability-Based Cooperative Learning Control for Heterogeneous Networks. in M Sun & R Chi (eds), Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026. Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026, Institute of Electrical and Electronics Engineers Inc., pp. 1012-1017, 15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026, Jishou, China, 8/05/26. https://doi.org/10.1109/DDCLS71227.2026.11610421

Trackability-Based Cooperative Learning Control for Heterogeneous Networks. / Wu, Yuxin; Sun, Jian.
Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026. ed. / Mingxuan Sun; Ronghu Chi. Institute of Electrical and Electronics Engineers Inc., 2026. p. 1012-1017 (Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Trackability-Based Cooperative Learning Control for Heterogeneous Networks

AU - Wu, Yuxin

AU - Sun, Jian

PY - 2026

Y1 - 2026

N2 - This paper investigates the cooperative learning control problem for heterogeneous networks, where the cooperative perfect tracking objective is of specific interest. The cooperative trackability is first proposed for heterogeneous networks to reveal the cooperative tracking ability of agents subject to the given desired reference, for which a distributed cooperative trackability criterion is established through the interactions among agents regardless of the heterogeneous dynamics of agents. Given the cooperatively trackable desired reference, a cooperative learning control law is developed with the insertion of the complete experiences of agents at the previous iteration. In the presence of the quasi-strong connectivity, the cooperative perfect tracking objective can be realized for heterogeneous networks with agents having irregular dynamics.

AB - This paper investigates the cooperative learning control problem for heterogeneous networks, where the cooperative perfect tracking objective is of specific interest. The cooperative trackability is first proposed for heterogeneous networks to reveal the cooperative tracking ability of agents subject to the given desired reference, for which a distributed cooperative trackability criterion is established through the interactions among agents regardless of the heterogeneous dynamics of agents. Given the cooperatively trackable desired reference, a cooperative learning control law is developed with the insertion of the complete experiences of agents at the previous iteration. In the presence of the quasi-strong connectivity, the cooperative perfect tracking objective can be realized for heterogeneous networks with agents having irregular dynamics.

KW - Cooperative Learning Control

KW - Cooperative Perfect Tracking

KW - Cooperative Trackability

KW - Heterogeneous Network

UR - https://www.scopus.com/pages/publications/105046586258

U2 - 10.1109/DDCLS71227.2026.11610421

DO - 10.1109/DDCLS71227.2026.11610421

M3 - Conference contribution

AN - SCOPUS:105046586258

T3 - Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026

SP - 1012

EP - 1017

BT - Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026

A2 - Sun, Mingxuan

A2 - Chi, Ronghu

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE Data Driven Control and Learning Systems Conference, DDCLS 2026

Y2 - 8 May 2026 through 11 May 2026

ER -

Wu Y, Sun J. Trackability-Based Cooperative Learning Control for Heterogeneous Networks. In Sun M, Chi R, editors, Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026. Institute of Electrical and Electronics Engineers Inc. 2026. p. 1012-1017. (Proceedings of 2026 IEEE 15th Data Driven Control and Learning Systems Conference, DDCLS 2026). doi: 10.1109/DDCLS71227.2026.11610421

Trackability-Based Cooperative Learning Control for Heterogeneous Networks

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this