Neuro-Fuzzy Control of Mobile Robots  

Oleh:

Deng, Chang ; Meng Joo Er ; Sun, Yalei

Jenis: Article from Article
Dalam koleksi: Final Program and Book of Abstracts: The 4th Asian Control Conference, September 25-27, 2002 (Sep. 2002), page 335-340.
Topik: Dynamic Fuzzy Neural Networks; GDFNN; Mobile Robots; Neuro-Fuzzy Control;
Fulltext: AC021615.PDF (302.65KB)

Isi artikel

This paper presents a fast approach, using Generalized Dynamic Fuzzy Neural Networks (GDFNN), for learning behaviors of mobile robots so as to avoid obstacles online. Using the GDFNN learning algorithm, not only the parameters of the controller can be optimized, but also the structure of the controller can be self-adaptive. In comparison to the neuro-fuzzy controller with a fixed rules base [2], the proposed approach is more flexible. Simulation results show that the performance is superior.

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