DocumentCode
3208513
Title
Artificial neural network controller for multi-link structures
Author
Styer, Daniel L. ; Vemuri, V.
Author_Institution
Biomed. Eng. Graduate Group, California Univ., Davis, CA, USA
fYear
1995
fDate
5-7Jan 1995
Firstpage
37
Lastpage
42
Abstract
Adaptive critic and direct search methods are used to learn control of a two-link structure. The performance differences between algorithms is more pronounced using the two-link structure than using the cart-pole system. It is shown how the direct search methods can be treated as reinforcement learning methods
Keywords
genetic algorithms; learning (artificial intelligence); neurocontrollers; search problems; adaptive critic method; artificial neural network controller; direct search methods; multi-link structures; reinforcement learning methods; two-link structure; Adaptive control; Artificial neural networks; Biomedical engineering; Control systems; Feedback loop; Learning; Neurofeedback; Programmable control; Search methods; State feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Automation and Control, 1995 (I A & C'95), IEEE/IAS International Conference on (Cat. No.95TH8005)
Conference_Location
Hyderabad
Print_ISBN
0-7803-2081-6
Type
conf
DOI
10.1109/IACC.1995.465871
Filename
465871
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