Publications

Várkonyi-Kóczy, A., P. Baranyi, and O. Takács, "SVD Based Anytime Modeling and Control of Nonlinear Systems", 3rd Int. Symposium of Hungarian Researchers on Computational Intelligence, pp. 135 - 146, 2002.

Várkonyi-Kóczy, A., and P. Baranyi, "SVD Based Modeling and Control of Nonlinear Systems", 1st Int. Conf. On Global Research and Education, Inter Akademia’2002, pp. 160 - 163, 2002.

Várkonyi-Kóczy, A., P. Baranyi, P. Zoltán, G. Sándor, R. A. E, and L. Péter, "SVD Based Modeling of Nonlinear Systems", Proceedings of the IEEE Instrumentation and Measurement Technology Conference, IMTC 2002, Piscataway, IEEE, pp. 887 - 891, 2002.

Baranyi, P., Y. Y, A. Várkonyi-Kóczy, R. J. Patton, M. P, and S. M, "SVD-based Complexity Reduction to TS Fuzzy Models", IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 49, issue 2, BARANYI P, 1997, P 7 INT FUZZ SYST AS, P127BARANYI P, 2000, FUZZY IF THEN RULES, P135 BARON JC, 1997, EMBEDDED SYSTEM APPL BISWAS G, 1997, IEEE T SYST MAN CY A, V27, P167 CHEN J, 1999, ROBUST MODEL BASED F CHEN TT, 1999, MAR BIOTECHNOL, V1, P1 DONGAR, pp. 433 - 443, 2002. Abstract

Baranyi, P., and A. Várkonyi-Kóczy, "Adaptation of SVD fuzzy reduction via minimal expansion", IEEE International Workshop on Intelligent Signal Processing (WISP'01), pp. 171 - 176, 2001.

Baranyi, P., A. Várkonyi-Kóczy, Y. Y, V. P, and M. P, "An Adaption Technique to SVD Reduced Rule Bases", Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp. 2488 - 2493, 2001.

Várkonyi-Kóczy, A., A. Ruano, P. Baranyi, and O. Takács, "Anytime Information Processing Based on Fuzzy and Neural Network Models", Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference, IMTC 2001, Piscataway, IEEE, pp. 1247 - 1252, 2001.

Baranyi, P., A. Várkonyi-Kóczy, C. J. Lopez-Toribio, and R. J. Patton, "Fuzzy Model Approximation and its SVD Reduction", European Control Conference (ECC’01), pp. 1 - , 2001.

Baranyi, P., A. Várkonyi-Kóczy, Y. Y, and M. P, "HOSVD Based Computational Complexity Reduction of TS Fuzzy Models", Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp. 2482 - 2487, 2001.

Baranyi, P., A. Várkonyi-Kóczy, V. P, M. Pál, and R. J. Patton, "Singular value based model approximation", Problems in Applied Mathematics and Computational Intelligence, Danvers, World Scientific and Engineering Society Press, pp. 119 - 124, 2001.

Baranyi, P., A. Várkonyi-Kóczy, P. Várlaki, Pál Michelberger, and R. J. Patton, "Singular Value Based Model Approximation", International Conference on Fuzzy Sets and Fuzzy Systems (FSFS’01), pp. 1 - , 2001.

Baranyi, P., A. Várkonyi-Kóczy, P. Várlaki, Pál Michelberger, and R. J. Patton, "Singular Value Based Model Approximation", Problems in Applied Mathematics and Computational Intelligence , Danvers, World Scientific and Engineering Society Press, pp. 119-124, 2001.

Korondi, P., A. Várkonyi-Kóczy, K. S, P. Baranyi, and S. M, "Virtual training of potential function based guiding styles", Joint 9th IFSA World Congress and 20th NAFIPS International Conference, pp. 2529 - 2533, 2001.

Visontai, M., S. Szabó, P. Baranyi, A. Várkonyi-Kóczy, and L. Kiss, "3-Dimensional Potential Based Guiding", 4th IEEE International Conference on Intelligent Engineering Systems (INES 2000), pp. 305 - 308, 2000.

Baranyi, P., A. Várkonyi-Kóczy, Y. Yam, and M. Sugiyama, "Adaption of SVD reduction in restricted rule base size", 11th Soft Science Workshop at Kanazawa (SOFT 2001), pp. 32 - 35, 2000.

Visontai, M., S. Szabó, A. Várkonyi-Kóczy, P. Baranyi, G. Samu, and L. Kiss, "Complexity Problem of Potential Based Guiding", IFAC Symposium on Artificial Intelligence in Real Time Control (AIRTC 2000) Proceedings, pp. 145 - 149, 2000.

Baranyi, P., Y. Yam, C. T. Yang, and A. Várkonyi-Kóczy, "SVD Based Reduction for Subdivided Rule Bases", 9th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 2000): IEEE, pp. 712 - 716, 2000.

Nagy, I., A. Várkonyi-Kóczy, P. Baranyi, P. Korondi, and H. Hasimoto, "Vector Field Based Guiding Model", 5th International Conference on Fuzzy Sets Theory and Its Applications (FSTA’00),, pp. 142 - , 2000.

Baranyi, P., Y. Yam, C. T. Yang, and A. Várkonyi-Kóczy, "Complexity Reduction of a Rational General Form", 8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE 1999): IEEE, pp. 366 - 371, 1999.

Baranyi, P., Y. Yam, C. T. Yang, and A. Várkonyi-Kóczy, "Practical Extension of the SVD Based Reduction Technique for Extremely Large Fuzzy Rule Bases", IEEE International Workshop on Intelligent Signal Processing (WISP '99): IEEE, pp. 29 - 33, 1999.

Baranyi, P., T. Domonkos, Y. Yam, L. T. Kóczy, and L. Nádai, "A new method for avoiding abnormal conclusion for a-cut based rule interpolation", 8th IEEE Int. Conf. on Fuzzy Systems (FUZZ-IEEE), Seoul, Korea, pp. pp. 383-388, 1999.