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Lian, K.-Y., Su, C.-H., & Huang, C.-S. (2006). Performance enhancement for T-S fuzzy control
using neural networks. IEEE Transactions on Fuzzy Systems , 14 (5), 619-627.
Matía, F., Al-Hadithi, B. M., Jiménez, A., & San Segundo, P. (2011). An affine fuzzy model with
local and global interpretation. Applied Soft Computing , 11 , 4226-4235.
Matía, F., Jiménez, A., Al-Hadithi, B. M., Rodríguez-Losada, D., & Galán, R. (2006). The fuzzy
Kalman filter: state estimation using possibilistic techniques. Fuzzy Sets and Systems , 157 , 2145-
2170.
Matía, F., Jiménez, A., Sanz, R., & Galán, R. (1992). Fuzzy controllers: Lifting the linear-nonlinear
frontier. Fuzzy Sets and Systems , 52 (2), 113-128.
Mollov, S., Babuska, R., Abonyi, J., & Verbruggen, H. B. (2004). Effective optimization for fuzzy
model predictive control. IEEE Transactions on Fuzzy Systems , 12 (5), 661-675.
Pacejka, H. B. (2006). Tyre and vehicle dynamics (2nd ed.). Oxford: Butterworth-Heinemann. ISBN
978-0-7506-6918-4.
Puskorius, G., & Feldkamp, L. (1994). Neurocontrol of nonlinear dynamical systems with kalman
filter trained recurrent networks. IEEE Transactions on Fuzzy Systems , 5 , 279-297.
Rajamani, R. (2012). Vehicle dynamics and control . Springer. ISBN 978-1-4614-1433-9.
Servicio de Estadística. (2011). Subdirección General de Análisis y Vigilancia Estadística. Anuario
estadístico de accidentes 2011, Technical report.
Simon, D. (2000a). Design and rule base reduction of a fuzzy filter for the estimation of motor
currents. International Journal of Approximate Reasoning , 25 (2), 145-167.
Simon, D. (2002b). Sumnormal optimization of fuzzymembership functions. International Journal
of Uncertainty, Fuzziness and Knowledge-Based Systems , 10 (4), 363-384.
Simon, D. (2002c). Training fuzzy systems with the extended Kalman filter. Fuzzy Sets and Systems ,
132 (2), 189-199. doi: 10.1016/S0165-0114(01)00241-X .
Skrjanc, I., Blazic, S., & Agamennoni, O. (2005). Interval fuzzy model identification using l-norm.
IEEE Transactions on Fuzzy Systems , 13 ,5.
Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling
and control. IEEE Transactions on Systems, Man, and Cybernetics , 15 (1), 116-132.
Tanaka, K., Hori, T., &Wang, H. O. (2003). A multiple lyapunov function approach to stabilization
of fuzzy control systems. IEEE Transactions on Fuzzy Systems , 11 (4), 582-589.
Tanaka, K., & Wang, H. O. (2001). LaTeX, Fuzzy control systems design and analysis: A linear
matrix inequality approach .NewYork:Wiley.
Tao, C., & Taur, J. (1999). Design of fuzzy controllers with adaptive rule insertion. IEEE Transac-
tions on Systems, Man, Cybern-Part B: Cybernetics , 29 , 389-397.
Wangand, L., &Mendel, J. (1992). Back-propagation of fuzzy systems as nonlinear dynamic system
identiers. In IEEE International Conference on Fuzzy Systems , San Diego, pp. 1409-1418.
Woo, Z.-W., Chung, H.-Y., & Lin, J.-J. (2000). A PID type fuzzy controller with self-tuning scaling
factors. Fuzzy Sets and Systems , 115 (2), 321-326.
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