@inproceedings{3a74131932fc44d796f89625eb9a562d,
title = "Iterative Learning Formation Control for Multi-agent Systems with Randomly Varying Trial Lengths",
abstract = "The formation control problem of iterative learning system with stochastic variable lengths is studied. In particular, we establish an iterative learning control protocol for multi-agent system with switching topology, in which a new formation state error is proposed to deal with different lengths. Using the redefined-norm and mathematical expectation, the convergence conditions are derived. The simulation results show that the method is effective.",
keywords = "Control protocol, Different lengths, Iterative Learning Control (ILC), Multi-agent formation system",
author = "Yimin Fan and Yang Liu and Na Wang",
note = "Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.; Chinese Intelligent Systems Conference, CISC 2020 ; Conference date: 24-10-2020 Through 25-10-2020",
year = "2021",
doi = "10.1007/978-981-15-8450-3\_15",
language = "英语",
isbn = "9789811584497",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "136--144",
editor = "Yingmin Jia and Weicun Zhang and Yongling Fu",
booktitle = "Proceedings of 2020 Chinese Intelligent Systems Conference - Volume I",
address = "德国",
}