This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Application of Fuzzy Neural Networks in the Intelligent Mobile Vehicle's Steering Control
Technical Paper
2007-01-3586
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
With the aim of improving vehicle steering stability through the introduction of active steering control in obstacle avoidance, the author undertook the development of the fuzzy neural networks. By using back propagation neural network as the base, it can use fuzzy theory and neural networks together to form a fuzzy neural networks control system. So it can auto pick-up the fuzzy rule and build the subordinate function.
The result of simulation analyses and experiments indicate that the method proposed in the paper can achieve safe and stability in steering control of obstacle avoidance of intelligent mobile vehicle.
Recommended Content
Authors
Citation
Xin, J. and Li, S., "Application of Fuzzy Neural Networks in the Intelligent Mobile Vehicle's Steering Control," SAE Technical Paper 2007-01-3586, 2007, https://doi.org/10.4271/2007-01-3586.Also In
References
- Yuh J. Underwater robotics, in: Proceedings of IEEE International Conference on Robotics and Automation San Francisco, CA, USA 2000 932 937
- Healey A.J. Lienard D. “Multivariate sliding mode control for autonomous diving and steering of unmanned underwater vehicles” IEEE J. Oceanic Eng. 1993 327 339
- Yoerger D.N. Slotine J.E. “Robust trajectory control of underwater vehicles” IEEE J. Oceanic Eng 1985 462 470
- Cho S.Y. Chow T.W.S. “Training multiplayer neural networks using fast global learning algorithm-Least squares and penalized optimization methods” Neuocomputer 1999:1-3 (25) 115 131
- Lin Cai A. Rad B. Chan W. L. Cai Kai-Yuan “A Robust Fuzzy PD Controller for Automatic Steering Control of Autonomous Vehicles” The IEEE International Conference on Fuzzy Systems 2003 549 555
- Guoyong-Li Intelligent control and Matlab realization publishing house of electronics industry, Beijing 2005