A hybrid fuzzy logic and neural network algorithm for robot motion control

IEEE Transactions on Industrial Electronics

Volumn 44, Issue 3, 1997, Pages 408-417

  Huang, Shiuh Jer ^a   Lian, Ruey Jing ^a  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROL; FUZZY SETS; LEARNING ALGORITHMS; MOTION CONTROL; MULTIVARIABLE CONTROL SYSTEMS; NEURAL NETWORKS;

HYBRID INTELLIGENT ALGORITHMS; ROBOTIC MOTION CONTROL;

MANIPULATORS;

EID: 0031168781     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.585840     Document Type: Article

References (20)

1. R. Garcia Rosa and M.C. Garcia-Alegre, "Fuzzy logic strategies to control an autonomous mobile robot," Cybernetics Syst., vol. 21, no. 2-3, pp. 267-276, Mar.-June 1990.
2. B.A. M. Wakileh and K.F. Gill, "Robot control using self-organizing fuzzy logic," Comput. Ind., vol. 15, no. 3, pp. 175-186, Nov. 1990.
3. S. Wang and T. Tsuchiya, "Fuzzy trajectory planning and its application to robot manipulator path control," Adv. Robot., vol. 8, no. 1, pp. 73-93, Jan. 1994.
4. K. Chen, J.-Y Lin, and Y.-X. Lu, "Fuzzy control of robot manipulator," in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Beijing/Shenyang, China, 1988, vol. 2, pp. 1210-1212.
5. J. Zhou and G.V. S. Raju, "Fuzzy rule-based approach for robot motion control in the presence of obstacles," in Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, Le Touquet, France, 1993, vol. 4, pp. 662-667.
6. M.B. Leahy, Jr., M.A. Johnson, and S.K. Rogers, "Neural network payload estimation for adaptive robot control," IEEE Trans. Neural Networks, vol. 2, pp. 93-100, Jan. 1991.
7. M. Sekiguchi, S. Magata, and K. Asakawa, "Behavior control for a mobile robot by a structured neural network," Adv. Robot., vol. 6, no. 2, pp. 215-230, Mar. 1992.
8. C.J. Goh, N.J. Edwards, and A.Y. Zomaya, "Feedback control of minimum-time optimal control problems using neural networks," Optimal Control Applicat. Methods, vol. 14, no. 1, pp. 1-16, Jan.-Mar. 1993.
9. A. Siders and K. Orita, "Structured learning in feedforward neural networks with application to robot trajectory control," in Proc. IEEE Int. Joint Conf. Neural Networks, Singapore, 1991, pp. 1067-1072.
10. W. Wei and J.P. Jiang, "New learning controller based on neural networks for robot trajectories tracking," in Proc. IEEE Int. Symp. Intelligent Control, 1994, pp. 57-62.
11. J. Maiers and Y.S. Shérif, "Applications of fuzzy set theory," IEEE Trans. Syst., Man, Cybern., vol. SMC-15, pp. 175-189, Jan. 1985.
12. C.C. Lee, "Fuzzy Logic in Control systems: Fuzzy logic-Part I & II," IEEE Trans. Syst., Man, Cybern., vol. 20, pp. 404-35, Mar. 1990.
13. D. Driankov, H. Hellendoorn, and M. Reinfrank, An Introduction to Fuzzy Control. New York: Springer-Verlag, 1993.
14. L.A. Zadeh, "Fuzzy sets," Inform. Control, vol. 8, no. 2, pp. 338-353, Apr. 1965.
15. L.A. Zadeh, "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Trans. Syst., Man, Cybern., vol. SMC-3, pp. 28-4, Jan. 1973.
16. E.H. Mamdani, "Applications of fuzzy algorithms for control of simple dynamic plants," Proc. Inst. Elect. Eng., vol. 121, no. 12, pp. 1585-1588, Dec. 1974.
17. J.A. Freeman and P.M. Skapura, Neural Networks Algorithms Application and Programming Techniques. Reading, MA: Addison-Wesley, 1991.
18. D.E. Rumelhart, G.E. Hinton, and R.J. Williams, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in the Microstructure of Cognition-Vol. I: Foundations, D.E. Rumelhart and J.L. McCelland, Eds. Cambridge, MA: MIT Press, 1986.
19. T.P. Vogl, J.K. Mangis, A.K. Rigler, W.T. Zink, and D.L. Alkon, "Accelerating the convergence of the back-propagation method," Biological Cybern., vol. 59, pp. 257-263, 1988.
20. R.A. Jacobs, "Increased rate of convergence through learning rate adaptation," Neural Networks, vol. 1, no. 4, pp. 295-307, Oct. 1988.