@inproceedings{beed29cdf21d41de95200fa3b69cd9c3,
title = "Design of adaptive neural fuzzy formation controller for multi-robot systems",
abstract = "This paper aims to investigate the formation control of multi-robot systems, where the first-order kinematic model of a differential wheeled robot is considered. Based on the graph theory and consensus algorithm, an adaptive neural fuzzy formation controller is designed with the capability of on-line learning. The learning rules of controller parameters can be derived from the analyzing of Lyapunov stability. Simulations are adopted to verify the feasibility of proposed techniques. From simulation results, the proposed adaptive neural fuzzy controller can provide better formation responses compared to conventional consensus algorithm.",
author = "Chang, \{Yeong Hwa\} and Chan, \{Wei Shou\} and Yang, \{Cheng Yuan\} and Chang, \{Chia Wen\} and Chung, \{Tzu Chi\}",
year = "2012",
language = "英语",
isbn = "9781457710957",
series = "Proceedings of the American Control Conference",
pages = "3161--3166",
booktitle = "2012 American Control Conference, ACC 2012",
note = "2012 American Control Conference, ACC 2012 ; Conference date: 27-06-2012 Through 29-06-2012",
}