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

並列摘要


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.

被引用紀錄


Tseng, H. Y. (2015). 車間光通訊通道不對稱性之分析 [master's thesis, National Taiwan University]. Airiti Library. https://doi.org/10.6342/NTU.2015.01181

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