A hybrid neuro-inverse control approach with knowledge-based nonlinear separation for industrial nonlinear system

IEEE Transactions on Control Systems Technology

Volumn 13, Issue 5, 2005, Pages 840-846

  Zhang, Tao ^a   Nakamura, Masatoshi ^a  

^a SAGA UNIVERSITY   (Japan)

Author keywords

Evaporator; Hybrid neuro inverse control; Industrial articulated robot arm (IARA); Industrial nonlinear system; Knowledge based nonlinear separation

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; ROBOTICS; UNCERTAIN SYSTEMS;

HYBRID NEURO-INVERSE CONTROL; INDUSTRIAL ARTICULATED ROBOT ARM (IARA); INDUSTRIAL NONLINEAR SYSTEM; KNOWLEDGE BASED NONLINEAR SEPARATION;

NONLINEAR CONTROL SYSTEMS;

EID: 26244434344     PISSN: 10636536     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCST.2005.852119     Document Type: Article

References (12)

1. J. Ackermann, Uncertainty and Control. Berlin, Germany: Springer-Verlag, 1985, p. 3.
2. B. Widrow and M. M. Lamego, "Neurointerface," IEEE Trans. Contr. Syst. Technol., vol. 10, no. 2, pp. 221-228, Mar. 2002.
3. F. B. D. Cabrera and K. S. Narendra, "Issues in the application of neural networks for tracking based on inverse control," IEEE Trans. Autom. Control, vol. 44, no. 11, pp. 2007-2027, Nov. 1999.
4. K. J. Hunt, D. Sbarbaro, R. Zbikowski, and P. J. Gawthrop, "Neural networks for control systems - A survey," Automatica, vol. 28, no. 6, pp. 1083-1112, 1992.
5. Y. Zhang, P. Sen, and G. E. Hearn, "An on-line trained adaptive neural controller," IEEE Control Syst. Mag., vol. 15, no. 5, pp. 67-75, 1995.
6. T. A. Johansen, "Identification of nonlinear systems using empirical data and prior knowledge - An optimization approach," Automatica, vol. 32, no. 3, pp. 337-356, 1996.
7. M. Nakamura, S. Goto, and T. Sugi, "A methodology for designing controllers for industrial systems based on nonlinear separation model and control," Control Eng. Pract., vol. 7, pp. 347-356, 1999.
8. S. Lee and R. M. Kil, "A Gaussian potential function network with hierarchically self-organizing learning," Neural Netw., vol. 4, pp. 207-224. 1991.
9. T. Zhang, M. Nakamura, S. Goto, and N. Kyura, "Neural-network controller of articulated robot arm with interference for high-precision contour control," in Proc. 6th Int. Symp. Artificial Life and Robotics, vol. 2, 2001, pp. 474-477.
10. S. Goto, M. Nakamura, and N. Kyura, "Modified taught data method for industrial mechatronic servo controller to achieve accurate contour control performance," in Proc. IEEE/ASME Int. Conf. Advanced Intelligent Mechatronics, vol. 525B, 1997.
11. N. Karkoub and N. Zribi, "Hybrid neuro-PD vibration control of a flexible slider-crank mechanism," Int. J. Knowledge-Based lntell. Eng. Syst., vol. 4, no. 2. pp. 118-129, 1999.
12. M. Nakamura, N. Egashira, and H. Uehara, "Digital control of working fluid flow rate for an OTEC plant," ASME J. Solar Energy Eng., vol. 108, pp. 111-116, 1996.