@inproceedings{ffd6dd63374540169c155e98cea53b4c,
title = "Cooperative Adaptive Identification and Force Control for Networked Euler-Lagrange Systems",
abstract = "This paper investigates the cooperative adaptive environment identification and the force control problems for heterogeneous Euler-Lagrange systems. A distributed adaptive control law is designed to identify the external environment, and the parameter convergence and the parameter consensus are achieved. The cooperative control law is easier to satisfy the persistently exciting condition. Using the containment control approach, a distributed control law is proposed to guarantee that the trajectory error and the parameter errors are uniformly ultimately bounded. The effectiveness of the proposed adaptive control laws is demonstrated by some simulation examples.",
keywords = "Euler-Lagrange systems, distributed control, heterogeneous multi-agent systems, parameter consensus",
author = "Xiaoxu Lv and Yuqing Hao and Tao Xu and Zhisheng Duan",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022 ; Conference date: 28-10-2022 Through 30-10-2022",
year = "2022",
doi = "10.1109/DOCS55193.2022.9967735",
language = "英语",
series = "2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 4th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2022",
address = "美国",
}