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A Novel Dual Successive Projection-Based Model-Free Adaptive Control Method and Application to an Autonomous Car.
- Source :
- IEEE Transactions on Neural Networks & Learning Systems; Nov2019, Vol. 30 Issue 11, p3444-3457, 14p
- Publication Year :
- 2019
-
Abstract
- In this paper, a novel model-free adaptive control (MFAC) algorithm based on a dual successive projection (DuSP)-MFAC method is proposed, and it is analyzed using the introduced DuSP method and the symmetrically similar structures of the controller and its parameter estimator of MFAC. Then, the proposed DuSP-MFAC scheme is successfully implemented in an autonomous car “Ruilong” for the lateral tracking control problem via converting the trajectory tracking problem into a stabilization problem by using the proposed preview-deviation-yaw angle. This MFAC-based lateral tracking control method was tested and demonstrated satisfactory performance on real roads in Fengtai, Beijing, China, and through successful participation in the Chinese Smart Car Future Challenge Competition held in 2015 and 2016. [ABSTRACT FROM AUTHOR]
- Subjects :
- ADAPTIVE control systems
DRIVERLESS cars
ARTIFICIAL satellite tracking
Subjects
Details
- Language :
- English
- ISSN :
- 2162237X
- Volume :
- 30
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Neural Networks & Learning Systems
- Publication Type :
- Periodical
- Accession number :
- 139436800
- Full Text :
- https://doi.org/10.1109/TNNLS.2019.2892327