Design of Dynamic Petri Recurrent-Fuzzy- Neural-Network Control System for Obstacle Avoidance and Path Tracking of Mobile Robot
碩士 === 元智大學 === 電機工程學系 === 97 === This thesis focuses on the development of dynamic Petri recurrent fuzzy-neural-network (DPRFNN) control systems, and applies these designed control systems to the obstacle avoidance and path tracking of a nonholonomic mobile robot. In the DPRFNN, the concept of a Pe...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/91832500588469434278 |