Fuzzy adaptive linearizing control for non-affine systems

IEEE International Conference on Fuzzy Systems

Volumn 1, Issue , 2003, Pages 543-548

  Boukezzoula, Reda ^a   Galichet, Sylvie ^a   Foulloy, Laurent ^a  

^a UNIVERSITÉ DE SAVOIE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; FEEDBACK; LINEARIZATION; LYAPUNOV METHODS; MATHEMATICAL MODELS;

NON-AFFINE SYSTEMS;

FUZZY SETS;

EID: 0038537476     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. P. Baranyi, P. Korondi, H. Hashimoto, Z. Suto, "Learning fuzzy controller based on linguistic model inversion", Proc. of the 7th Int. Power Electronics & Motion Control Conf. (PEMC'96), Budapest, Hungary, pp. 467-471, 1996.
2. P. Baranyi, I. Bavelaar, L.T. Koczy, A. Titli, "Inverse rule base of various fuzzy interpolation techniques", Proc. of the 7th IFSA, Prague, Czech Republic, pp. 121-126, 1997.
3. R. Boukezzoula, S. Galichet, L. Foulloy, "Fuzzy Learning Control of Nonlinear Systems Using Input-Output Linearization," Proc. of the IEEE Int. SMC, San Diego, USA, pp. 2095-2100, 1998.
4. R. Boukezzoula, S. Galichet, L. Foulloy, "Fuzzy Nonlinear Adaptive Internal Model Control (FNAIMC)", European Journal of Control, vol. 7, no. 5, pp. 523-540, 2001.
5. R. Boukezzoula, S. Galichet and L. Foulloy, "Fuzzy robust control for discrete-time nonlinear systems using input-output linearization and H-infinity optimization", Proc. of the 10th FUZZ-IEEE, Melbourne, Australia, 2001.
6. R. Boukezzoula, S. Galichet and L. Foulloy, "Fuzzy Linearizing Control Approach for a Class of Nonlinear Discrete-time Systems and its Equivalence with Internal Model Control Structure", Proc. of the 11th FUZZ-IEEE'02), Honolulu, USA, pp. 122-127, 2002.
7. R. Boukezzoula, S. Galichet and L. Foulloy, "Nonlinear Internal Model Control: Application of Inverse Model Based Fuzzy Control", submitted to IEEE Trans. on Fuzzy Systems.
8. Chen F., Khalil H.,"Adaptive Control of a Class of Nonlinear Discrete-Time Systems Using Neural Networks ", IEEE Trans. on Aut. Cont., vol. 40, no. 5, May 1995.
9. Johansen T.A. and Foss B.A., "Identification of Nonlinear System Structure and parameters Using Regime Decomposition", Automatica, vol. 31, pp. 321-326, 1995.
10. Jagannathan S., "Adaptive Fuzzy Logic Control of Feedback Linearizable Discrete-Time Dynamical Systems Under Persistence Excitation", Automatica, vol. 34, no. 11, pp. 1295-1310, 1998.
11. Jin L., Nikiforuk P.N. and Gupta M.M., "Fast Neural Learning and Control of Discrete-Time Nonlinear Systems", IEEE Trans. on Systems, Man, and Cybernetics, vol. 25, no. 3, pp. 478-488, March 2000.
12. Kim E., Park M., Ji S. and Park M., "A New Approch to Fuzzy Modeling", IEEE Trans. on Fuzzy Systems, vol. 5, no. 3, pp. 328-337, August 1997.
13. M. Moallem, R.V. Fated and Khorasani K., "An Inverse Dynamics Control Strategy for Tip Position Tracking of Flexible Multi-Link Manipulators", Journal of Robotic systems, vol. 14, no. 9, pp. 649-658, 1997.
14. R. Rovatti, "Fuzzy Piecewise Multilinear and Piecewise Linear Systems as Universal Approximators in Sobolev Norms", IEEE Trans. on Fuzzy Systems, vol. 6, no. 2, pp. 235-249, May 98.
15. Slotine J.J., Li W., "Applied Nonlinear Control," Englewood Cliffs, New Jersey: Prentice-Hall, 1991.
16. M. Sugeno, "On Stability of Fuzzy Systems Expressed by Fuzzy Rules with Singleton Consequents", IEEE Trans. on Fuzzy Systems, vol. 7, no. 2, pp. 201-224, April 99.
17. Spooner J.T., Passino K., "Stable Adaptive Control Using Fuzzy Systems and Neural Networks", IEEE Trans. on Fuzzy Systems, vol. 4, no. 3, pp. 339-359, August 1996.
18. T. Takagi, M. Sugeno, "Fuzzy Identification of Systems and its Application to Modeling and Control", IEEE Trans. on SMC, vol. 15, no. 1, pp. 116-132, Feb.85.
19. Sugeno M., Kang G., "Structure identification of fuzzy model", Fuzzy Sets and Sys., vol. 28, pp.13-33, 1988.
20. Vandegrift M.W., Lewis F.L., Jagannathan S. and Liu K., "Adaptive Fuzzy Logic Control of Discrete-time Dynamical Systems", Proc. of the IEEE Int. Symp. on Intelligent Control, Monterey, USA, pp. 395-401, 1995.
21. L.X. Wang, "Stable Adaptive Fuzzy Control of Nonlinear Systems", IEEE Trans. on Fuzzy Systems, vol. 1, no. 2, pp. 146-155, May 93.
22. H. Ying, G. Chen, "Necessary Conditions for Some Typical Fuzzy Systems as Universal Approximators", Automatica, vol. 33, no.7, pp. 1333-1338, 97.
23. W. Yim and S.N. Singh, "Inverse Force and Motion Control of Constrained Elastic Robots", Journal of Dynamic System, Measurement and Control, vol. 117, pp. 374-383, 1995.
24. P.S. Yoon, J.H. Park and G.T. Park, "Adaptive Fuzzy Control of Nonaffine Nonlinear Systems using Takagi-Sugeno Fuzzy Models", Proc. of the 10th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE'01), Melbourne, Australia, pp. 642-645, 2001.
25. Yoshinari Y., Pedrycz W. and Hirota K., "Construction of Fuzzy Models Through Clustering Techniques", Fuzzy Sets and Systems, vol. 54, pp. 157-165, 1993.
26. X.J. Zeng, M.G. Singh, "Decomposition Property of Fuzzy Systems and Its Applications", IEEE Transactions on fuzzy systems, Vol. 4, No. 2, pp. 149-165, May 1996.