Adaptive Neuro-Fuzzy Formation Control for Leader-Follower Mobile Robots

被引:0
|
作者
Lin, Hung-Wei [2 ]
Chan, Wei-Shou [1 ]
Chang, Chia-Wen [3 ]
Yang, Cheng-Yuan [1 ]
Chang, Yeong-Hwa [1 ]
机构
[1] Chang Gung Univ, Dept Elect Engn, Tao Yuan, Taiwan
[2] Lee Ming Inst Technol, Dept Elect Engn, Taipei, Taiwan
[3] Ming Chuan Univ, Dept Informat & Telecommun Engn, Taipei, Taiwan
关键词
Multi-robot systems; formation control; neural fuzzy control; Lyapunov stability; MULTIAGENT SYSTEMS; SWITCHING TOPOLOGY; CONSENSUS; NAVIGATION; DELAYS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper aims to investigate the formation control of multi-robot systems, where the kinematic model of a differentially driven wheeled mobile robot is considered. Based on the graph-theoretic concepts and locally distributed information, 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. In addition to simulations, the proposed techniques are applied to an experimental multi-robot platform for performance validations. From simulation and experimental results, the proposed adaptive neural fuzzy protocol can provide better formation responses compared to conventional consensus algorithms.
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页码:359 / 370
页数:12
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