Neural-fuzzy Autonomous Overland Vehicle Control System
The problems of autonomous overland vehicles are regarded in this article. The dynamic model of the object and fuzzy algorithms of autonomous overland vehicle moving control and avoiding obstacles are offered. The control system is realized on neural networks.
B.G Ilyasov Yu.V. Startsev K.E. Golovatsky R.R. Almukhametov B.M. Belalov
Russia, Bashkortostan, 450000, K.Marx st. 12,Ufa State Aviation Technical University, Technical Cybernetics Chair
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
985-988
2001-11-14(万方平台首次上网日期,不代表论文的发表时间)