Training neural-net controllers with the help of trajectories generated with fuzzy rules (demonstrated with the truck backup task)

Neurocomputing

Volumn 18, Issue 1-3, 1998, Pages 91-105

  Park, Gwang Hoon ^a   Pao, Yoh Han ^b  

^a Yonsei University Wonju   (South Korea)

^b CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Control path planning; Functional mapping; Functional link net; Fuzzy control; Neural net

Indexed keywords

ERROR ANALYSIS; FUZZY CONTROL; FUZZY SETS; INTELLIGENT CONTROL; LEARNING SYSTEMS; MEMBERSHIP FUNCTIONS; MOTION PLANNING;

FUNCTIONAL LINK NETS; FUNCTIONAL MAPPING;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; MODEL; PRIORITY JOURNAL; SYSTEM ANALYSIS; TRAINING;

EID: 0031911858     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00071-4     Document Type: Article

References (4)

1. [1] S.G. Kong, B. Kosko, Adaptive fuzzy systems for backing up a truck-and-trailer, IEEE Trans. Neural Networks 3 (2) (1992) 211-223.
2. [2] D. Nguyen, B. Widrow. The truck backer-upper: an example of self-learning in the neural networks. Int. Joint Conf. on Neural Networks. Vol. II (1989) 357-363.
3. [3] Y.H. Pao, Adaptive Pattern Recognition and Neural Networks, Addison-Wesley Publishing, Leading MA, 1989.
4. [4] Y.H. Pao, S.M. Phillips, D.J. Sobajic, Neural-net computing and the intelligent control of systems, Int. J. Control 56 (2) (1992) 263-289.