@inproceedings{59db25741a1e427896523b1e85264f8a,
title = "Designing robust distributed average tracking (DAT) algorithms for multi-reference-signals produced by lipschitz-type dynamics",
abstract = "This article designs a DAT algorithm for multi-reference-signals produced by multiple Lipschitz-type dynamics. There is a nonlinear term in the reference signals' dynamics which satisfies the Lipschitz-type condition. Based on state-dependent-gain designing approaches, a class of robust distributed average tracking algorithm is designed without requiring the same initial condition. The agent can track the AVG of the multi-reference-signals. A numerical simulation is shown finally.",
keywords = "DAT algorithm, Lipschitz-type nonlinear, multi-agent system, robust to initial",
author = "Yu Zhao and Yongfang Liu and Guanghui Wen",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th International Workshop on Complex Systems and Networks, IWCSN 2017 ; Conference date: 08-12-2017 Through 10-12-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/IWCSN.2017.8276542",
language = "英语",
series = "2017 International Workshop on Complex Systems and Networks, IWCSN 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "296--300",
booktitle = "2017 International Workshop on Complex Systems and Networks, IWCSN 2017",
}