A self-learning fuzzy logic controller using genetic algorithms with reinforcements

IEEE Transactions on Fuzzy Systems

Volumn 5, Issue 3, 1997, Pages 460-467

  Chiang, Chih Kuan ^a   Chung, Hung Yuan ^a   Lin, Jin Jye ^a  

^a NATIONAL CENTRAL UNIVERSITY   (Taiwan)

Author keywords

Fuzzy logic control; Genetic algorithm; Neural network; Reinforcement learning

Indexed keywords

ADAPTIVE ALGORITHMS; GENETIC ALGORITHMS; HEURISTIC METHODS; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBLEM SOLVING;

GENETIC REINFORCEMENT FUZZY LOGIC CONTROLLER (GRFLC); SELF LEARNING FUZZY LOGIC CONTROL;

FUZZY CONTROL;

EID: 0031211975     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.618280     Document Type: Article

References (19)

1. O. Yagishita, O. Itoh, and M. Sugeno, "Application of fuzzy reasoning to the water purification process," in Industrial Application of Fuzzy Control, M. Sugeno, Ed. Amsterdam, The Netherlands: North-Holland, 1985, pp. 19-40.
2. J. A. Bernard, "Use of rule-based system for process control," IEEE Contr. Syst. Mag., vol. 8, no. 5, pp. 3-13, 1988.
3. Y. Kasai and Y. Morimoto, "Electronically controlled continuously variable transmission," in Proc. Int. Congr. Transport. Electron., Dearborn, MI, Oct. 1988, pp. 69-85.
4. T. J. Procyk and E. H. Mamdani, "A linguistic self-organizing process controller," Automatica, vol. 15, no. 1, pp. 15-30, 1979.
5. C. T. Lin and C. S. George Lee, "Neural network-based fuzzy logic control and decision system," IEEE Trans. Comput., vol. 40, pp. 1320-1336, Dec. 1991.
6. W. Z. Qiao, P. Z. Wang, T. H. Heng, and S. S. Song, "A rule self-regulating fuzzy controller," Fuzzy Sets Syst., vol. 47, pp. 13-21, 1992.
7. C. C. Lee, "A self-learning rule-based controller employing approximate reasoning and neural net concepts," Int. J. Intell. Syst., vol. 6, pp. 71-93, 1991.
8. H. R. Berenji, "A reinforcement learning-based architecture for fuzzy logic control," Int. J. Approx. Reasoning, vol. 6, pp. 267-292, 1992.
9. H. R. Berenje and P. Khedkar, "Learning and tuning fuzzy logic controllers through reinforcements," IEEE Trans. Neural Networks, vol. 3, pp. 724-740, May 1992.
10. A. G. Barto and M. I. Jordan, "Gradient following without backpropagation in layered network," in Proc. IEEE 1st Annu. Conf. Neural Network, San Diego, CA, 1987, pp. 629-636.
11. A. L. Samuel, "Some studies in machine learning using the game of checkers," IBM J. Res. Develop., vol. 3, pp. 210-229, 1959.
12. D. Mechie and R. A. Chambers, "Boxes: An experiment in adaptive control," in Mach. Intell., vol. 2, pp. 137-152, 1968.
13. A. G. Barto, R. S. Sutton, and C. W. Anderson, "Neuron-like adaptive elements that can solve difficult learning control problem," IEEE Trans. Syst., Man, Cybern., vol. SMC-13, pp. 834-846, Sept./Oct. 1983.
14. D. E. Goldberg, Genetic Algorithms in Search, Optimization, and Machine Learning. Reading, MA: Addison-Wesley, 1989.
15. C. W. Anderson, "Learning and problem solving with multilayer connectionist system," Ph.D. dissertation, Univ. Massachusetts, Amherst, MA, 1986.
16. R. S. Sutton, "Temporal credit assignment in reinforcement learning," Ph.D. dissertation, Univ. Massachusetts, Amherst, MA, 1984.
17. D. Rumelhart, G. Hinto, and R. J. Williams, "Learning internal representation by error propagation," in Parallel Distributes Processing, D. Rumelhart and J. McCelland, Eds. Cambridge, MA: MIT Press, 1986, pp. 318-362.
18. C. W. Anderson, "Strategy learning with multilayer connectionist representation," Tech. Rep. TR87-509.3, GTE Labs., May 1988.
19. D. Rumelhart, G. Hinto, and R. J. Williams, "Learning internal representation by error propagation," in Parallel Distributes Processing, D. Rumelhart and J. McCelland, Eds. Cambridge, MA: MIT Press, 1986, pp. 318-362.