Fuzzy neural network control for dc-motor micromaneuvering

Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME

Volumn 119, Issue 2, 1997, Pages 312-315

  Tzes, Anthony ^a   Peng, Pei Yuan ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0011430365     PISSN: 00220434     EISSN: 15289028     Source Type: Journal    
DOI: 10.1115/1.2801254     Document Type: Article

References (7)

1. Armstrong-Hélouvry, B., 1991, Control of Machines with Friction, Kluwer Academic Pubis., Norwell, MA.
2. Armstrong-Hélouvry, B., Dupont, P., and C. de Wit, 1994, “A Survey of Models, Analysis Tools and Compensation Methods for the Control of Machines with Friction,” Automatica, Vol. 30, July, pp. 1083-1138.
3. Chen, C., 1989, “Rules Extraction for Fuzzy Control Systems,” IEEE International Conference on Systems Man and Cybernetics, Nov., pp. 526-527.
4. Friedland, B., and Park, Y-J., 1992, “On Adaptive Friction Compensation,” IEEE Transactions on Automatic Control, Vol. AC-37, Oct., pp. 1609-1612.
5. Lee, C. C., 1990, “Fuzzy Logic in Control Systems: Fuzzy Logic Controller- Parts I & II,” IEEE Transactions on Systems, Man, and Cybernetics, Vol. 20, Mar., pp. 404-435.
6. Tzes, A., Peng, P-Y., and Houng, C-C., 1995, “Neural Network Control for DC-Motor Micromaneuvering,” IEEE Transactions on Industrial Electronics, Vol. 42, Oct., pp. 516-523.
7. Zurada, J, 1992, Introduction to Artifical Neural Systems. West Publishing Co., St. Paul, MN