[Al-Hadithi et al., 2013]Al-Hadithi, B.M., Barragán, A.J., Andújar, J.M., Jiménez, A., Oct. 2013. Variable structure control with chattering elimination and guaranteed stability for a generalized t-s model. Applied Soft Computing 13 (12), 4802-4812. DOI: http://dx.doi.org/10.1016/j.asoc.2013.07.026.
[Al-Hadithi et al., 2007]Al-Hadithi, B.M., Matía, F., Jiménez, A., Apr. 2007. Análisis de estabilidad de sistemas borrosos. Revista Iberoamericana de Automática e Informática Industrial (RIAI) 4 (2), 7-25.
[Albertos and Sala, 2004]Albertos, P., Sala, A., Jul. 2004. Control borroso. Una metodología integradora. Revista Iberoamericana de Automática e Informática Industrial (RIAI) 1 (2), 22-31.
[Altrock, 1994]Altrock, C. v., 1994. Fuzzy logic technologies in automotive engineering. En: Embedded systems conference. Vol. 2. pp. 407-422.
[Altrock et al., 1992]Altrock, C. v., Krause, B., Zimmermann, H.J., 1992. Advanced fuzzy logic control technologies in automotive applications. En: IEEE Conference on Fuzzy Systems. pp. 831-842.
[Anderson et al., 1977]Anderson, J.A., Silverstein, J.W., Ritz, S.A., Jones, R.S., Sep. 1977. Distinctive features, categorical perception, and probability learning: some applications of a neural model. Psychological Review 84 (5), 413-451. DOI: 10.1037/0033-295X.84.5.413.
[Andújar et al., 2006a]Andújar, J.M., Aroba, J., Torre, M.L. d. l., Grande, J.A., Jan. 2006a. Contrast of evolution models for agricultural contaminants in ground waters by means of fuzzy logic and data mining. Environmental Geology 49 (3), 458-466. DOI: 10.1007/s00254-005-0103-2.
[Andújar and Barragán, 2005]Andújar, J.M., Barragán, A.J., Sep. 2005. A methodology to design stable nonlinear fuzzy control systems. Fuzzy Sets and Systems 154 (2), 157-181. DOI: 10.1016/j.fss.2005.03.006.
[Andújar and Barragán, 2010]Andújar, J.M., Barragán, A.J., Jul. 2010. A formal methodology for the analysis and design of nonlinear fuzzy control systems. En: Fuzzy Systems (FUZZ), 2010 IEEE International Conference on. No. 1. Barcelona, Spain, pp. 66-74. DOI: 10.1109/FUZZY. 2010.5583980.
[Andújar et al., 2006b]Andújar, J.M., Barragán, A.J., Córdoba, J.M., Fernández, I., Jan. 2006b. Diseño de sistemas de control borroso: modelado de la planta. Revista Iberoamericana de Automática e Informática Industrial (RIAI) 3 (1), 75-81.
[Andújar et al., 2009]Andújar, J.M., Barragán, A.J., Gegúndez, M.E., Oct. 2009. A general and formal methodology for designing stable nonlinear fuzzy control systems. IEEE Transactions on Fuzzy Systems 17 (5), 1081-1091. DOI: 10.1109/TFUZZ. 2009.2021984.
[Andújar et al., 2007]Andújar, J.M., Barragán, A.J., Gegúndez, M.E., Maestre, M., 2007. Control borroso multivariable basado en heurística. un caso práctico: Grúa porta contenedortes. Revista Iberoamericana de Automática e Informática Industrial (RIAI) 4 (2), 81-89+123.
[Andújar and Bravo, 2005]Andújar, J.M., Bravo, J.M., Mar. 2005. Multivariable fuzzy control applied to the physical-chemical treatment facility of a cellulose factory. Fuzzy Sets and Systems 150 (3), 475-492. DOI: 10.1016/j.fss.2004.03.023.
[Andújar et al., 2004]Andújar, J.M., Bravo, J.M., Peregrín, A., Dec. 2004. Stability analysis and synthesis of multivariable fuzzy systems using interval arithmetic. Fuzzy Sets and Systems 148 (3), 337-353. DOI: 10.1016 issn = 0165-0114,/j.fss.2004.01.008.
[Angelov and Buswell, 2002]Angelov, P., Buswell, R., Oct. 2002. Identification of evolving fuzzy rule-based models. IEEE Transactions on Fuzzy Systems 10 (5), 667-677. DOI: 10.1109/TFUZZ. 2002.803499.
[Angelov et al., 2004]Angelov, P., Xydeas, C., Filev, D., july 2004. On-line identification of MIMO evolving Takagi–Sugeno fuzzy models. En: Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on. Vol. 1. pp. 55-60. DOI: 10.1109/FUZZY. 2004.1375687.
[Angelov, 2002]Angelov, P.P., 2002. Evolving Rule-Based Models: A Tool for Design of Flexible Adaptive Systems. Vol. 92 of Studies in Fuzziness and Soft Computing. Physica-Verlag, Springer, New York.
[Angelov and Filev, 2004]Angelov, P.P., Filev, D.P., Feb. 2004. An approach to online identification of Takagi–Sugeno fuzzy models. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics 34 (1), 484-498. DOI: 10.1109/TSMCB. 2003.817053.
[Aracil, 2000]Aracil, J., 2000. Stability Issues in Fuzzy Control. Springer-Verlag New York, Inc., Secaucus, NJ, USA.
[Aracil et al., 1989]Aracil, J., Ollero, A., Garcia-Cerezo, A., Sep. 1989. Stability indices for the global analysis of expert control systems. IEEE Transactions on Systems, Man, and Cybernetics 19 (5), 998-1007. DOI: 10.1109/21.44014.
[Aroba et al., 2007]Aroba, J., Grande, J.A., Andújar, J.M., De La Torre, M.L., Riquelme, J.C., Sep. 2007. Application of fuzzy logic and data mining techniques as tools for qualitative interpretation of acid mine drainage processes. Environmental. Geology 53 (1), 135-145. DOI: 10.1007/s00254-006-0627-0.
[Assilian, 1974]Assilian, S., 1974. Artificial intelligence in the control of real dynamical systems. Ph.D. thesis, Queen Mary College, London University. Babuška, R., Mar. 1995. Fuzzy modeling – a control engineering perspecti ve. En: Proceedings of FUZZ-IEEE/IFES’95. Vol. 4. Yokohama, Japan, pp. 1897-1902. DOI: 10.1109/FUZZY. 1995.409939.
[Barragán, 2009]Barragán, A.J., 2009. Síntesis de sistemas de control borroso estables por diseño. Universidad de Huelva. URL: http://uhu.es/antonio.barragan/thesis.
[Barragán et al., 2013]Barragán, A.J., Al-Hadithi, B.M., Jiménez, A., Andújar, J.M., 2013. A general methodology for online TS fuzzy modeling by the extended kalman filter. Applied Soft Computing, in–press. DOI: 10.1016/j.asoc.2013.09.005.
[Baumann et al., 2000]Baumann, B., Washington, G., Glenn, B., Rizzoni, G., Mar. 2000. Mechatronic design and control of hybrid electric vehicles. IEEE/ASME Transactions on Mechatronics 5 (1), 58-72. DOI: 10.1109/3516.828590.
[Bellman and Zadeh, 1970]Bellman, R.E., Zadeh, L.A., Dec. 1970. Decision–making in a fuzzy environment. Management Science 17 (4), B141-B164.
[Berenji and Khedkar, 1992]Berenji, H.R., Khedkar, P., Sep. 1992. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Transactions on Neural Networks 3 (5), 724-740. DOI: 10.1109/72.159061.
[Bezdek and Dunn, 1975]Bezdek, J.C., Dunn, J.C., Aug. 1975. Optimal fuzzy partitions: A heuristic for estimating the parameters in a mixture of normal distributions. IEEE Transactions on Computers C-24 (8), 835-838.
[Bezdek et al., 1984]Bezdek, J.C., Ehrlich, R., Full, W.E., 1984. FCM: The fuzzy c-means clustering algorithm. Computers and Geosciences 10 (2-3), 191-203. DOI: 10.1016/0098-3004(84)90020-7.
[Bonissone et al., 1999]Bonissone, P.P., Chen, Y.H., Goebel, K.F., Khedkar, P.S., 1999. Hybrid soft computing systems: Industrial and commercial applications. Proceedings of the IEEE 87 (9), 1641-1667. DOI: 10.1109/5.784245.
[Bravo et al., 2002]Bravo, J.M., Sánchez, O., Andújar, J.M., Fernández, E., 2002. Stability analysis and synthesis of fuzzy systems using interval arithmetic. En: 2002, E.S.L., (Ed.), 15th IFAC World Congress. No. 15. Barcelona, Spain, pp. 79-79. DOI: 10.1016/j.fss.2004.01.008.
[Bulteau and Vial, 1983]Bulteau, J., Vial, J., Feb. 1983. Curvilinear path and trust region in unconstrained optimization: a convergence analysis. Mathematical Programming Study 1, 82-101.
[Cao and Frank, 2000]Cao, Y.Y., Frank, P.M., Apr. 2000. Analysis and synthesis of nonlinear timedelay systems via fuzzy control approach. IEEE Transactions on Fuzzy Systems 8 (2), 200-211. DOI: 10.1109/91.842153.
[Chen et al., 1995]Chen, O.T., Lu, Y.-C., Chang, H.-T., 1995. Fuzzy reasoning processor for camera image autofocus. En: Wu, L.T., (Ed.), Visual Communications and Image Processing’95. Vol. 2501. SPIE, pp. 347-354. DOI: 10.1117/12.206740.
[Cherry and Jones, 1995]Cherry, A., Jones, R., Mar. 1995. Fuzzy logic control of an automotive suspension system. En: IEE Proceedings: Control Theory and Applications. IEE, Stevenage, United Kingdom, pp. 149-160. DOI: 10.1049/ip-cta:19951736.
[Chiu, 1994]Chiu, S., 1994. Fuzzy model identification based on cluster estimation. En: Journal of Intelligent & Fuzzy Systems. Vol. 2. pp. 267-278.
[Chua et al., 1987]Chua, L.O., Desoer, C.A., Kuh, E.S., 1987. Linear and nonlinear circuits. McGraw-Hill series in electrical and computer engineering: Circuits and systems. McGraw-Hill Book Company, New York.
[Cordón et al., 2004]Cordón, O., Gomide, F., Herrera, F., Ho_mann, F., Magdalena, L., Jan. 2004. Ten years of genetic fuzzy systems: Current framework and new trends. Fuzzy Sets and Systems 141 (1), 5-31. DOI: 10.1016/S0165-0114(03)00111-8.
[Cordón et al., 1995]Cordón, O., Herrera, F., Lozano, M., 1995. A classified review on the combination fuzzy logic-genetic algorithms bibliography. Tech. Rep. DECSAI-95129, Dept. of Computer Science and A.I., University of Granada.
[Denaï et al., 2007]Denaï, M.A., Palis, F., Zeghbib, A.H., Jun. 2007. Modeling and control of nonlinear systems using soft computing techniques. Applied Soft Computing 7 (3), 728-738. DOI: 10.1016/j.asoc.2005.12.005.
[Dennis, 1977]Dennis Jr., J., 1977. Nonlinear least-squares. State of the art in numerical analysis. Academic Press, pp. 269-312.
[Dennis and Schnabel, 1996]Dennis Jr., J., Schnabel, R.B., 1996. Numerical Methods for Unconstrained Optimization and Nonlinear Equations. Vol. 16 of Classics in Applied Mathematics. Soc for Industrial & Applied Math.
[Dorigo et al., 1999]Dorigo, M., Di Caro, G., Gambardella, L.M., 1999. Ant algorithms for discrete optimization. Artificial Life 5 (2), 137-172. DOI: 10.1162/106454699568728.
[Dorigo et al., 1996]Dorigo, M., Maniezzo, V., Colorni, A., Feb. 1996. Ant system: Optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics 26 (1), 29-41. DOI: 10.1109/3477.484436.
[Driankov et al., 1993]Driankov, D., Hellendoorn, H., Reinfrank, M., 1993. An introduction to fuzzy control. Springer-Verlag, New York, USA.
[Dunn, 1973]Dunn, J.C., 1973. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics 3, 32-57.
[Feng et al., 2002]Feng, G., Cao, S.G., Rees, N.W., Oct. 2002. Stable adaptive control of fuzzy dynamic systems. Fuzzy Sets and Systems 131 (2), 217-224. DOI: 10.1016/S0165-0114(01)00236-6.
[Ferrer et al., 1998]Ferrer, J., Rodrigo, M.A., Seco, A., Penya-roja, J.M., 1998. Energy saving in the aeration process by fuzzy logic control. Water Science and Technology 38 (3), 209-217. DOI: 10.1016/S0273-1223(98)00463-6.
[Freeman and Skapura, 1991]Freeman, J.A., Skapura, D.M., 1991. Neural networks: algorithms, applications, and programming techniques. Addison Wesley Longman Publishing Co., Inc., Redwood City, CA, USA.
[Gajate, 2010]Gajate, A., 2010. Modelado y control neuroborroso de sistemas complejos. Aplicación a procesos de mecanizado de alto rendimiento. Ph.D. thesis, Dpto. de Informática Industrial, Centro de Automática y Robótica (CSICUPM).
[Gajate and Haber, 2009]Gajate, A., Haber, R.E., Jan. 2009. Networked neurofuzzy control. An application to a drilling process. RIAI - Revista Iberoamericana de Automatica e Informatica Industrial 6 (1), 31-38+127.
[Goguen, 1969]Goguen, J.A., Apr. 1969. The logic of inexact concepts. Synthese 19 (3-4), 325-373. DOI: 10.1007/BF00485654.
[Grande et al., 2005]Grande, J.A., Andújar, J.M., Aroba, J., De La Torre, M.L., Beltrán, R., Apr. 2005. Precipitation, pH and metal load in AMD river basins: An application of fuzzy clustering algorithms to the process characterization. Journal of Environmental Monitoring 7 (4), 325-334. DOI: 10.1039/b410795k.
[Grewal and Andrews, 2001]Grewal, M.S., Andrews, A.P., 2001. Kalman Filtering: Theory and Practice Using MATLAB, 2nd Edición. John Wiley & Sons, Inc., Hoboken, New Yersey.
[Grippo et al., 1986]Grippo, L., Lampariello, F., Lucidi, S., 1986. A nonmonotone line search technique for newton's method. SIAM Journal on Numerical Analysis 23 (4), 707-716. DOI: 10.1137/0723046.
[Grossberg, 1987]Grossberg, S., 1987. Competitive learning: from interactive activation to adaptive resonance. Cognitive Science 11 (1), 23-63. DOI: 10.1016/S0364-0213(87)80025-3.
[Gupta, 2000]Gupta, M., 2000. Soft Computing and Intelligent Systems. Theory and Applications. Academic Press, Hamilton, Ontario, Canada.
[Han and Shi, 2007]Han, Y.F., Shi, P., Jan. 2007. An improved ant colony algorithm for fuzzy clustering in image segmentation. Neurocomputing 70 (4-6), 665-671. DOI: 10.1016/j.neucom.2006.10.022.
[Haruki and Kikuchi, 1992]Haruki, T., Kikuchi, K., Aug. 1992. Video camera system using fuzzy logic. IEEE Transactions on Consumer Electronics 38 (3), 624-634. DOI: 10.1109/30.156746.
[Hayashi and Takagi, 1988]Hayashi, I., Takagi, H., May 1988. Formulation of fuzzy reasoning by neural network (in japanese). En: IFSA Japan. pp. 55-60.
[Hofbauer et al., 1993]Hofbauer, P., Arend, H.O., Pfannstiel, D., 1993. New heating systems controls based on the use of fuzzy logic. En: First European Congress on Fuzzy and Intelligent Technologies. Aachen, pp. 1036-1042.
[Hopfield, 1982]Hopfield, J.J., Apr. 1982. Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Sciences of the United States of America 79 (8), 2554-2558.
[Horikawa et al., 1992]Horikawa, S.-I., Furuhashi, T., Uchikawa, Y., Sep. 1992. On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm. IEEE Transactions on Neural Networks 3 (5), 801-806. DOI: 10.1109/72.159069.
[Jang, 1992]Jang, J.-S., 1992. Neuro-fuzzy modeling: architectures, analyses, and applications. Ph.D. thesis, University of California, Berkeley.
[Jang, 1991]Jang, J.-S. R., 1991. Fuzzy modeling using generalized neural networks and kalman filter algorithm. AAAI’91, Proceedings of the ninth National conference on Artificial intelligence 91, 762-767.
[Jang, 1993]Jang, J.-S. R., May 1993. ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man, and Cybernetics 23 (3), 665-685. DOI: 10.1109/21.256541.
[Jang and Sun, 1995]Jang, J.-S. R., Sun, C.-T., Mar. 1995. Neuro-fuzzy modeling and control. Proceedings of the IEEE 83 (3), 378-406. DOI: 10.1109/5.364486.
[Jensen and Shen, 2005]Jensen, R.P., Shen, Q., Jan. 2005. Fuzzy-rough data reduction with ant colony optimization. Fuzzy Sets and Systems 149 (1), 5-20. DOI: 10.1016/j.fss.2004.07.014.
[Jiang and Li, 1996]Jiang, T., Li, Y.T., Aug. 1996. Generalized defuzzification strategies and their parameter learning procedures. IEEE Transactions on Fuzzy Systems 4 (1), 64-71. DOI: 10.1109/91.481845.
[Jiménez et al., 2009]Jiménez, A., Aroba, J., de la Torre, M.L. d. l., Andújar, J.M., Grande, J.A., 2009. Model of behaviour of conductivity versus pH in acid mine drainage water, based on fuzzy logic and data mining techniques. Journal of Hydroinformatics 2 (11), 147-153. DOI: 10.2166/hydro.2009.015.
[Juang et al., 2008]Juang, C.F., Lu, C.M., Lo, C., Wang, C.Y., Mar. 2008. Ant colony optimization algorithm for fuzzy controller design and its fpga implementation. IEEE Transactions on Industrial Electronics 55 (3), 1453-1462. DOI: 10.1109/TIE. 2007.909762.
[Kalman, 1960]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.
[Karr, 1991]Karr, C.L., Jul. 1991. Design of an adaptive fuzzy logic controller using a genetic algorithm. En: 4th International Conference on Genetic Algorithms, ICGA’91. Morgan Kaufmann, San Diego, CA, USA, pp. 450-457.
[Karr et al., 1989]Karr, C.L., Freeman, L.M., Meredith, D.L., Nov. 1989. Improved fuzzy process control of spacecraft autonomous rendezvous using a genetic algorithm. En: SPIE Conf. on Intelligent Control and Adaptive Systems. Vol. 1196. pp. 274-283. URL: http://dx.doi.org/10.1117/12.969926 DOI: 10.1117/12.969926.
[Kim et al., 1996]Kim, H.M., Dickerson, J., Kosko, B., Dec. 1996. Fuzzy throttle and brake control for platoons of smart cars. Fuzzy Sets and Systems 84 (3), 209-234. DOI: 10.1016/issn = 0165-0114,0165-0114(95)00326-6.
[Kohonen, 1988]Kohonen, T., 1988. Self Organization and Associative Memory. Springer Series in Information Sciences. Springer London, Limited.
[Kosko, 1994]Kosko, B., Nov. 1994. Fuzzy systems as universal approximators. IEEE Transactions on Computers 43 (11), 1329-1333. DOI: 10.1109/12.324566.
[Lako_, 1973]Lako_, G., Oct. 1973. Hedges: A study in meaning criteria and the logic of fuzzy concepts. Journal of Philosophical Logic 2 (4), 458-508. DOI: 10.1007/BF00262952.
[Layne et al., 1993]Layne, J.R., Passino, K.M., Yurkovich, S., Jun. 1993. Fuzzy learning control for antiskid braking systems. IEEE Transactions on Control Systems Technology 1 (2), 122-129. DOI: 10.1109/87.238405.
[LeCun, 1985]LeCun, Y., 1985. Une procedure d’apprentissage pour reseau a seuil symetrique (in french). Cognitiva. CESTA, Paris, France 85, 599-604.
[Lee and Sul, 1998]Lee, H.-D., Sul, S.-K., Aug. 1998. Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle. IEEE Transactions on Industrial Electronics 45 (4), 625-632. DOI: 10.1109/41.704891.
[Lee and Zak, 2002]Lee, Y., Zak, S., Apr. 2002. Designing a genetic neural fuzzy antilock-brakesystem controller. IEEE Transactions on Evolutionary Computation 6 (2), 198-211. DOI: 10.1109/4235.996019.
[Lennon and Passino, 1999]Lennon,W. K., Passino, K.M., Mar. 1999. Intelligent control for brake systems. IEEE Transactions on Control Systems Technology 7 (2), 188-202. DOI: 10.1109/87.748145.
[Li and Yonezawa, 1991]Li, Y., Yonezawa, Y., 1991. Stability analysis of fuzzy control systems by the hyperstability theorem. Japanese journal of fuzzy theory and systems 3 (2), 209-214.
[Liang and John, 1999]Liang, W., John, Y., Feb. 1999. Extracting fuzzy rules for system modeling using a hybrid of genetic algorithms and Kalman filter. Fuzzy Sets and Systems 101 (3), 353-362. DOI: 10.1016/S0165-0114(97)00098-5.
[Lin and Wang, 2002]Lin, C.-F.,Wang, S.-D., Mar. 2002. Fuzzy support vector machines. IEEE Transactions on Neural Networks 13 (2), 464-471. DOI: 10.1109/72.991432.
[Lin and Lee, 1991]Lin, C.-T., Lee, C., Dec. 1991. Neural-network-based fuzzy logic control and decision system. IEEE Transactions on Computers 40 (12), 1320-1336. DOI: 10.1109/12.106218.
[Lin and Wang, 1998]Lin, H.-R., Wang, W.-J., Nov. 1998. L2-stabilization design for fuzzy control systems. Fuzzy Sets and Systems 100 (1-3), 159-172. DOI: 10.1016/S0165-0114(97)00131-0.
[López-Baldán et al., 2002]López-Baldán, M.J., García-Cerezo, A., Cejudo, J.M., Romero, A., Apr. 2002. Fuzzy modeling of a thermal solar plant. International Journal of Intelligent Systems 17 (4), 369-379. DOI: 10.1002/int.10026.
[Lughofer, 2008]Lughofer, E.D., Dec. 2008. FLEXFIS: A robust incremental learning approach for evolving Takagi-Sugeno fuzzy models. IEEE Transactions on Fuzzy Systems 16 (6), 1393-1410. DOI: 10.1109/TFUZZ. 2008.925908.
[Maeda and Murakami, 1991]Maeda, M., Murakami, S., 1991. Stability analysis of fuzzy control systems using phase planes. En: Japanese journal of fuzzy theory and systems. Vol. 3. pp. 149-160.
[Malki et al., 1994]Malki, H.A., Li, H., Chen, G., Nov. 1994. New design and stability analysis of fuzzy proportional-derivative control systems. IEEE Transactions on Fuzzy Systems 2 (4), 245-254. DOI: 10.1109/91.324804.
[Mamdani, 1974]Mamdani, E.H., Dec. 1974. Application of fuzzy algorithms for control of a simple dynamic plant. Proceedings of the IEEE 121 (12), 1585-1588. DOI: 10.1049/piee.1974.0328.
[Mamdani, 1977]Mamdani, E.H., Dec. 1977. Application of fuzzy logic to approximate reasoning using linguistic synthesis. IEEE Transactions on Computers C-26 (12), 1182-1191. DOI: 10.1109/TC. 1977.1674779.
[Mamdani and Assilian, 1975]Mamdani, E.H., Assilian, S., 1975. An experimental in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies 7 (1), 1-13.
[Mauer, 1995]Mauer, G.F., Nov. 1995. Fuzzy logic controller for an ABS braking system. IEEE Transactions on Fuzzy Systems 3 (4), 381-388. DOI: 10.1109/91.481947.
[Maybeck, 1979]Maybeck, P.S., 1979. Stochastic models, estimation, and control. Vol. 141 of Mathematics in Science and Engineering. Academyc Press, 11 Fifth Avenue, New York.
[McCulloch and Pitts, 1943]McCulloch, W.S., Pitts, W., 1943. A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics 5 (4), 115-133. DOI: 10.1007/BF02478259.
[Meseguer and Sols, 1975]Meseguer, J., Sols, I., 1975. Automata in semimodule categories. En: Proceedings of the First International Symposium on Category Theory Applied to Computation and Control. Springer-Verlag, London, UK, pp. 193-198.
[Mudi and Pal, 1999]Mudi, R., Pal, N., Feb. 1999. A robust self-tuning scheme for PI- and PD-type fuzzy controllers. IEEE Transactions on Fuzzy Systems 7 (1), 2-16. DOI: 10.1109/91.746295.
[Negoita, 1969]Negoita, C.V., 1969. Information retrieval systems. Ph.D. thesis, Polytechnical Institute, Bucharest, Romania.
[Negoita, 1974]Negoita, C.V., 1974. Fuzzy systems and artificial intelligence. Cybernetes 3, 173-178.
[Nguyen et al., 1995]Nguyen, H.T., Sugeno, M., Tong, R.M., Yager, R.R., 1995. Theoretical aspects of fuzzy control. John Wiley Sons, New York, NY, USA.
[Nomura et al., 1993]Nomura, H., Hayashi, I., Wakami, N., 1993. A self–tuning method of fuzzy inference rules by descent method. En: Lowen, R., Roubens, M., (Eds.), Fuzzy Logic. Kluwer Academic Publishers, Dordrecht, pp. 465-475.
[Parker, 1985]Parker, D., 1985. Learning logic. Tech. Rep. TR-47, Center for Computational Res. Econ. Manage. Sci. Massachusetts Inst. Technol., Cambridge, MA.
[Piegat, 1997]Piegat, A., 1997. Hyperstability of fuzzy-control systems and degrees of freedom. En: 5th European Congress on Intelligent Techniques and Soft Computing, EUFIT’97. Vol. 2. pp. 1446-1450.
[Piegat, 2001]Piegat, A., 2001. Fuzzy modeling and control. Springer-Verlag Company, Heidelberg-New York.
[Pok and Xu, 1994]Pok, Y.-M., Xu, J.-X., Jun. 1994. Why is fuzzy control robust? En: Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on. Vol. 2. Orlando, FL, pp. 1018-1022. DOI: 10.1109/FUZZY. 1994.343875.
[Powell, 1984]Powell, M., Aug. 1984. On the global convergence of trust region algorithms for unconstrained minimization. Mathematical Programming 29 (3), 297-303. DOI: 10.1007/BF02591998.
[Ramaswamy et al., 1993]Ramaswamy, P., Riese, M., Edwards, R.M., Lee, K.Y., Dec. 1993. Two approaches for automating the tuning process of fuzzy logic controllers. En: 32nd IEEE Conference on Decision and Control. Part 2 (of 4). San Antonio, TX, USA. DOI: 10.1109/CDC. 1993.325490.
[Rao and Prahlad, 1997]Rao, M.V.C. adn Prahlad, V., Jan. 1997. A tunable fuzzy logic controller for vehicle-active suspension systems. Fuzzy Sets and Systems 85 (1), 11-21. DOI: 10.1016/0165-0114(95)00369-X.
[Rosenblatt, 1958]Rosenblatt, F., 1958. The perceptron: a probabilistic model for information storage and organization in the brain. Psycological Review 65 (6), 386-408.
[Rosenblatt, 1962]Rosenblatt, F., 1962. Principles of neurodynamics: perceptrons and the theory of brain mechanisms. Report (Cornell Aeronautical Laboratory). Spartan Books.
[Sala and Ariño, 2009]Sala, A., Ariño, C., Apr. 2009. Reduciendo distancias entre el control borroso y el control no lineal: luces y sombras. Revista Iberoamericana de Automática e Informática Industrial (RIAI) 6 (2), 26-35.
[Santos, 2011]Santos, M., Oct. 2011. Un enfoque aplicado del control inteligente. RIAI - Revista Iberoamericana de Automatica e Informatica Industrial 8 (4), 283-296. DOI: 10.1016/j.riai.2011.09.016.
[Santos et al., 1996]Santos, M., Dormido, S., de la Cruz, J.M., 1996. Fuzzy-PID controllers vs. fuzzy-PI controllers. En: 5th IEEE International Conference on Fuzzy Systems FUZZ-IEEE’96. pp. 1598-1604. DOI: 10.1109/FUZZY. 1996.552571.
[Schouten et al., 2002]Schouten, N., Salman, M., Kheir, N., May 2002. Fuzzy logic control for parallel hybrid vehicles. IEEE Transactions on Control Systems Technology 10 (3), 460-468. DOI: 10.1109/87.998036.
[Simon, 2002]Simon, D., 2002. Training fuzzy systems with the extended Kalman filter. Fuzzy Sets and Systems 132 (2), 189-199. DOI: 10.1016/S0165-0114(01)00241-X.
[Smith, 1970]Smith, R.E., 1970. Measure theory on fuzzy sets. Ph.D. thesis, Dept. of Mathematics, University of Saskatchewan, Saskatoon, Canada.
[Sols, 1975]Sols, I., 1975. Aportaciones a la teoría de topos, al álgebra universal y a las matemáticas fuzzy. Ph.D. thesis, Universidad de Zaragoza, Zaragoza, España.
[Steinmüller and Wick, 1993]Steinmüller, H., Wick, O., 1993. Fuzzy and neurofuzzy applications in european washing machines. En: First European Congress on Fuzzy and Intelligent Technologies, EUFIT’93. Aachen, pp. 1031-1035.
[Sugeno, 1974]Sugeno, M., 1974. Theory of fuzzy integrals and its applications. Ph.D. thesis, Tokyo Institute of Technology.
[Sugeno and Yasukawa, 1993]Sugeno, M., Yasukawa, T., Feb. 1993. Fuzzy-logic-based approach to qualitative modeling. IEEE Transactions on Fuzzy Systems 1 (1), 7-31. DOI: 10.1109/TFUZZ. 1993.390281.
[Takagi, 1995]Takagi, H., 1995. Industrial Applications of Fuzzy Control and Intelligent Systems. IEEE Press, Piscataway, NJ, USA.
[Takagi, 1990]Takagi, H., Apr. 1996. Industrial and commercial applications of nn/fs/ga/chaos in 1990s. En: International Workshop on Soft Computing in Industry (IWSCI’ 96). Muroran, Hokkaido, Japan, pp. 160-165.
[Takagi and Hayashi, 1991]Takagi, H., Hayashi, I., May 1991. NN-driven fuzzy reasoning. International Journal of Approximate Reasoning 5 (3), 191-212.
[Tanaka et al., 1998]Tanaka, K., Ikeda, T., Wang, H.O., May 1998. Fuzzy regulators and fuzzy observers: relaxed stability conditions and LMI–based designs. IEEE Transactions on Fuzzy Systems 6 (2), 250-265. DOI: 10.1109/91.669023.
[Tanaka and Sugeno, 1992]Tanaka, K., Sugeno, M., Jan. 1992. Stability analysis and design of fuzzy control systems. Fuzzy Sets and Systems 45 (2), 135-156. DOI: 10.1016/0165-0114(92)90113-I.
[Tanaka and Wang, 2001]Tanaka, K., Wang, H.O., 2001. Fuzzy control systems design and analysis: a linear matrix inequality approach. AWiley-Interscience publication. Wiley.
[Tang et al., 2001]Tang, K., Man, K.F., Chen, G., Kwong, S., Aug. 2001. An optimal fuzzy PID controller. IEEE Transactions on Industrial Electronics 48 (4), 757-765. DOI: 10.1109/41.937407.
[Vachtsevanos et al., 1993]Vachtsevanos, G., Farinwata, S., Pirovolou, D., Jun. 1993. Fuzzy logic control of an automotive engine. IEEE Control Systems Magazine 13 (3), 62-68. DOI: 10.1109/37.214946.
[Vélez et al., 2010]Vélez, M.A., Sánchez, O., Romero, S., Manuel, A.J., Mar. 2010. A new methodology to improve interpretability in neuro-fuzzy TSK models. Applied Soft Computing 10 (2), 578-591. DOI: http://dx.doi.org/10.1016/j.asoc.2009.08.027.
[Wang and Tanaka, 1996]Wang, H.O., Tanaka, K., Gri_n, M.F., Feb. 1996. An approach to fuzzy control of nonlinear systems: stability and design issues. IEEE Transactions on Fuzzy Systems 4 (1), 14-23. DOI: 10.1109/91.481841.
[Wang and Langari, 1994]Wang, L., Langari, R., 1994. Fuzzy controller design via hyperstability approach. En: IEEE International Conference on Fuzzy Systems. Vol. 1. pp. 178-182. DOI: 10.1109/FUZZY. 1994.343696.
[Wang, 1992]Wang, L.-X., 1992. Fuzzy systems are universal approximators. En: IEEE International Conference on Fuzzy Systems. San Diego, CA, USA, pp. 1163-1170. DOI: 10.1109/FUZZY. 1992.258721.
[Wang, 1994]Wang, L.X., 1994. Adaptive fuzzy systems and control. Prentice Hall, New Jersey.
[Wang, 1997]Wang, L.-X., 1997. A course in fuzzy systems and control. Prentice Hall, New Yersey, USA.
[Wang and Mendel, 1992]Wang, L.-X., Mendel, J.M., Mar. 1992. Back-propagation fuzzy system as nonlinear dynamic system identifiers. En: Fuzzy Systems, 1992, IEEE International Conference on. pp. 1409-1418. DOI: 10.1109/FUZZY. 1992.258711.
[Werbos, 1974]Werbos, P., 1974. Beyond regresion: new tools for prediction and analysis in the behavioral sciences. Ph.D. thesis, Harvard University, Cambridge, MA.
[Widrow, 1959]Widrow, B., 1959. Adaptative sampled-data systems, a statistical theory of adaptation. En: IRE WESCON Convention Record. Part 4. Institute of Radio Engineers, New York.
[Widrow and Ho, 1989]Widrow, B., Ho_, M.E., 1989. Adaptive switching circuits. En: Wescon Conference Record. pp. 709-717.
[Won and Langari, 2002]Won, J.-S., Langari, R., Feb. 2002. Fuzzy torque distribution control for a parallel hybrid vehicle. Expert Systems 19 (1), 4-10. DOI: 0.1111/1468-0394.00184.
[Xie and Beni, 1991]Xie, X.L., Beni, G., Aug. 1991. A validity measure for fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 13 (8), 841-847. DOI: 10.1109/34.85677.
[Yen and Langari, 1999]Yen, J., Langari, R., 1999. Fuzzy Logic: Intelligence, control, and information. Prentice Hall.
[Ying, 1998]Ying, H., Jul. 1998. Su_cient conditions on uniform approximation of multivariate functions by general Takagi–Sugeno fuzzy systems with linear rule consequent. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans 28 (4), 515-520. DOI: 10.1109/3468.686713.
[Ying et al., 1990]Ying, H., Siler,W., Buckley, J.J., May 1990. Fuzzy control theory: A nonlinear case. Automatica 26 (3), 513-520. DOI: 10.1016/0005-1098(90)90022-A.
[Yongman et al., 1994]Yongman, L., Seong-Ik, J., Keewook, C., Dongyun, L., Wonchan, K., Choong-Woong, L., May 1994. Fuzzy-control processor for automatic focusing. IEEE Transactions on Consumer Electronics 40 (2), 138-144. DOI: 10.1109/30.286408.
[Zadeh, 1962]Zadeh, L.A., May 1962. From circuit theory to system theory. En: Proceedings of th Institute of Radio Engineers. Vol. 50. pp. 856-865. DOI: 10.1109/JRPROC. 1962.288302.
[Zadeh, 1965]Zadeh, L.A., 1965. Fuzzy sets. Information and Control 8 (3), 338-353.
[Zadeh, 1973]Zadeh, L.A., Jan. 1973. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man, and Cybernetics 3, 28-44. DOI: 10.1109/TSMC. 1973.5408575.
[Zeng, 2000]Zeng, K., Zhang, N.-Y., Xu, W.-L., Dec. 2000. A comparative study on sufficient conditions for Takagi–Sugeno fuzzy systems as universal approximators. IEEE Transactions on Fuzzy Systems 8 (6), 773-780. DOI: 10.1109/91.890337.
[Zhao et al., 1993]Zhao, Z.-Y., Tomizuka, M., Isaka, S., Sep. 1993. Fuzzy gain scheduling of PID controllers. IEEE Transactions on Systems, Man, and Cybernetics 23 (5), 1392-1398. DOI: 10.1109/21.260670.
[Zimmermann, 1976]Zimmermann, H.J., 1976. Description and optimization of fuzzy systems. International Journal of General Systems 2, 209-215.