Genetic algorithm for fine-tuning fuzzy rules for the cart-pole balancing system

Australian Computer Journal

Volumn 28, Issue 4, 1996, Pages 128-137

  Finn, G D ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0009068251     PISSN: 00048917     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

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3. GEVA, S. and SITTE, J. (1993a): The cart-pole experiment as a benchmark for trainable controllers, IEEE Control Systems Magazine 13(5), 40-51.
4. GEVA, S. and SITTE, J. (1993b): Performance of temporal differences and reinforcement learning in the cart-pole experiment, Proc. Int. Joint Conf on Neural Networks, Nagoya, Japan 28, 35-38.
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9. KOSKO, B. (1991): Neural Networks and Fuzzy Systems, I-III, Prentice-Hall.
10. LINKENS, D.A. and NYONGESA, H.O. (1992): Real time acquisition of fuzzy rules using genetic algorithms, Int. Symposium on AI in real-time control, Delft, Netherlands, 599-603.
11. MICHIE, D. and CHAMBERS, R.A. (1968): BOXES: An experiment in adaptive control. Machine Intelligence 2 , Dale E., and Michie D. Eds., Oliver and Boyd, Edinburgh, 137-52.
12. WIDROW, B. and SMITH, F.W. (1963): Pattern Recognizing Control Systems, Computer and Information Sciences (COINS) Symp. Proc., Washington, 288-317.
13. ZADEH, L.A. (1965): Fuzzy sets, Information Control, Academic Press Inc. 8, 338-53.