GA-based neuro-fuzzy controller for flexible-link manipulator

IEEE Conference on Control Applications - Proceedings

Volumn 1, Issue , 2002, Pages 471-476

  Siddique, M N H ^a   Tokhi, M O ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL NONLINEARITIES; FLEXIBLE MANIPULATORS; GENETIC ALGORITHMS; INTELLIGENT CONTROL; NEURAL NETWORKS; THREE TERM CONTROL SYSTEMS;

FLEXIBLE-LINK MANIPULATORS; NEURO-FUZZY CONTROLLERS;

FUZZY CONTROL;

EID: 0036031644     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (22)

1. Chao, C.-T. and Teng, C.-C. (1997). A PD-like self-tuning fuzzy controller without steady-state error, Fuzzy Sets and Systems, Vol. 87, pp. 141-154.
2. Chung, H.-Y., Chen, B.-C. and Lin, J.-J. (1998). A PI-type fuzzy control with self-tuning Scaling Factors, Fuzzy Sets and Systems, Vol. 93, pp. 23-28.
3. th UK Workshop on Fuzzy Systems, Sheffield, 26-27 October, pp. 36-41.
4. th School on Active Noise and Vibration Control Methods, Krynica, 22-25 May, Poland, pp.29-36.
5. Nauck, D and Kruse, R (1993). A fuzzy neural network learning fuzzy control rules and membership functions by fuzzy error backpropagation, Proceeding of IEEE International Conference on Neural Networks, pp. 1022-1027.
6. Lin, C.-T. and C.S.G. Lee (1991). Neural-Network-based fuzzy logic control and decision system, IEEE Transaction on Computer, vol. 40, pp. 1320-1336.
7. Lin, C.-T. and Lee, C.S.G. (1992). Real-time supervised structure-parameter learning for fuzzy neural network, Proceeding of IEEE International Conference on Fuzzy Systems, pp. 1283-1290.
8. Lin, C.-T. and Lee, C.S.G. (1993). Reinforced structure-parameter learning for neural-network-based fuzzy logic control systems, Proceeding of IEEE International Conference on Fuzzy Systems, pp. 88-93.
9. Lin, C.-T. and Lee, C.S.G. (1995). A neural fuzzy control system with structure and parameter learning, Fuzzy Sets and Systems, vol. 70, pp. 183-212.
10. Buckley, J.J. and Hayashi, Y. (1995). Neural networks for fuzzy systems, Fuzzy Sets and Systems, Vol. 71, pp.265-276.
11. Chen, M. and Linkens, D.A. (1998). A hybrid neuro-fuzzy controller, Fuzzy Sets and Systems, Vol. 99, pp. 27-36.
12. Jang, J.-S.R. (1993). ANFIS: Adaptive-Network-based fuzzy inference systems, IEEE Trans. on Systems, Man and Cybernetics, vol. 23, pp. 665-685.
13. Nauck, D., Klawonn, F. and Kruse, R. (1997). Foundations of Neuro-Fuzzy Systems, John Wiley and Sons, Chichester, NY, Weinheim, Brisbane, Singapore, Toronto.
14. st IEEE International Conference on Fuzzy Systems, San Diego, CA, March, pp. 633-641.
15. Drainkov, D.; Hellendorn, H. and Reinfrank, M. (1993). An Introduction to Fuzzy Control, New York, Springer-Verlag.
16. Harris, C.J.; Moore, C.G. and Brown, M. (1993). Intelligent Control - Aspects of Fuzzy Logic and Neural Nets, Singapore, World Scientific.
17. Yamada, T. and Yabuta, T. (1992). Neural Network Controller using Autotuning Method for Nonlinear Functions; IEEE Trans. on Neural Networks; vol.3, No.4, pp. 595-601.
18. rd International Conference on Genetic Algorithms (ICGA '89), George Mason University, June 4-7, pp. 370-374.
19. th International Joint Conference on Artificial Intelligence, San Mateo, CA, Morgan Kaufmann, pp. 762-767.
20. Whiteley, D.; Starkweather, T. and Bogart, C. (1990). Genetic Algorithms and neural Networks: Optimizing Connections and Connectivity, Parallel Computing, vol. 14, pp. 347-361.
21. Yam, Jim Y.F. and Chow, Tommy W.S. (1997). Extended Least Squares Based Algorithm for Training Feedforward Networks", IEEE Trans. on Neural Networks, Vol. 8, No. 3, pp. 806-810.
22. Siddique, M.N.H. (2002). Intelligent Control of Flexible-link Manipulators, Ph.D. Thesis (submitted), Department of Automatic Control and Systems Engineering, The University of Sheffield.