Control System Design of Multitrailer Using Neurocontrollers with Recessive Gene Structure by Step-up GA Training
Author:
Affiliation:
1. Mécénat Co., Ltd.
2. Faculty of Engineering, University of the Ryukyus
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/125/1/125_1_29/_pdf
Reference17 articles.
1. (1) D. Nguyen and B. Widrow: The Truck Backer-Upper: “An Example of Self-learning in Neural Networks”, Proc. of Int. Joint Conf. on Neural Networks (IJCNN-89), Vol. 2, pp. 357-363 (1989)
2. (2) R. E. Jenkins and B. P. Yuhas: “A Simplified Neural Network Solution Through Problem Decomposition: The Case of the Truck Backer-Upper”, IEEE Trans. on Neural Networks, Vol. 4, No. 4, pp. 718-720 (1993)
3. (3) M. Sampei and T. Kobayashi: “Path Tracking Control of Car-Caravan Type Articulated Vehicles Using Nonlinear Control Theory”, Trans. of SICE, Vol. 30, No. 4, pp. 427-434 (1994-4) (in Japanese)
4. Path Tracking Control of Car-Caravan Type Articulated Vehicles Using Nonlinear Control Theory
5. (4) K. Tanaka and T. Kosaki: “Fuzzy Backward Movement Control of a Mobile Robot with Two Trailers”, Trans. of SICE, Vol. 33, No. 6, pp. 541-546 (1997-6) (in Japanese)
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