By Fernando Matía, G. Nicolás Marichal, Emilio Jiménez
Much paintings on fuzzy keep an eye on, protecting study, improvement and purposes, has been constructed in Europe because the 90's. however, the present books within the box are compilations of articles with out interconnection or logical constitution or they show the non-public perspective of the writer. This booklet compiles the advancements of researchers with proven event within the box of fuzzy regulate following a good judgment constitution and a unified the fashion. the 1st chapters of the ebook are devoted to the creation of the most fuzzy common sense thoughts, the place the subsequent chapters concentrate on concrete purposes. This publication is supported by way of the EUSFLAT and CEA-IFAC societies, which come with a great number of researchers within the box of fuzzy common sense and keep an eye on. The crucial subject of the publication, Fuzzy keep an eye on, is likely one of the major learn and improvement traces coated by means of those associations.
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Extra info for Fuzzy Modeling and Control: Theory and Applications
Fuzzy Sets and Systems, 157, 2145– 2170. , & Galán, R. (1992). Fuzzy controllers: Lifting the linear-nonlinear frontier. Fuzzy Sets and Systems, 52(2), 113–128. , & Verbruggen, H. B. (2004). Effective optimization for fuzzy model predictive control. IEEE Transactions on Fuzzy Systems, 12(5), 661–675. Pacejka, H. B. (2006). ). Oxford: Butterworth-Heinemann. ISBN 978-0-7506-6918-4. , & Feldkamp, L. (1994). Neurocontrol of nonlinear dynamical systems with kalman filter trained recurrent networks. IEEE Transactions on Fuzzy Systems, 5, 279–297.
Johansen, T. , & Murray-Smith, R. (2000). On the interpretation and identification of dynamic Takagi-Sugeno models. IEEE Transactions on Fuzzy Systems, 8(3), 297–313. Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Transactions on ASME-Journal of Basic Engineering, 82(series D), 35–45. Kotwicki, A. J. (1982). Dynamic models for torque converter equipped vehicles, Technical report. Warrendale: Society of Automotive Engineers Inc. , & Stoll, N. (2006). A min-max approach to fuzzy clustering, estimation, and identification.
2011b). Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter. In S. Galichet, J. Montero & G. ), 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011) and LFA-2011, Advances in Intelligent Systems Research (Aix-les-Bains, France), (pp. 686–690). 65. Benmakrouha, F. (1997). Parameter identification in a fuzzy system with insufficient data. In IEEE International Conference on Fuzzy Systems, (Vol. 1, pp. 537–542) (IEEE, Piscataway, NJ, United States).