Referencias#
Hirotugu Akaike. A new look at the statistical model identification. IEEE transactions on automatic control, 19(6):716–723, 1974.
SA Billings. Identification of nonlinear systems using parameter estimation techniques. In Institute of Electrical Engineers Conference, 183–190. 1981.
Sheng Chen and Steve A Billings. Representations of non-linear systems: the narmax model. International journal of control, 49(3):1013–1032, 1989.
Antonio Coronel-Escamilla, José Francisco Gómez-Aguilar, L Torres, Martin Valtierra-Rodriguez, and Ricardo Fabricio Escobar-Jiménez. Design of a state observer to approximate signals by using the concept of fractional variable-order derivative. Digital Signal Processing, 69:127–139, 2017.
Guang-Bin Huang and Haroon A Babri. Upper bounds on the number of hidden neurons in feedforward networks with arbitrary bounded nonlinear activation functions. IEEE transactions on neural networks, 9(1):224–229, 1998.
Guang-Bin Huang, Qin-Yu Zhu, and Chee-Kheong Siew. Extreme learning machine: theory and applications. Neurocomputing, 70(1-3):489–501, 2006.
H.K. Khalil. Nonlinear Systems. Macmillan Publishing Company, 1992. ISBN 9780023635410. URL: https://books.google.com.mx/books?id=RVHvAAAAMAAJ.
I Jꎬ Leontaritis and Stephen A Billings. Input-output parametric models for non-linear systems part i: deterministic non-linear systems. International journal of control, 41(2):303–328, 1985.
L. Ljung. System Identification: Theory for the User. Pearson Education, 1998. ISBN 9780132440530. URL: https://books.google.com.mx/books?id=fYSrk4wDKPsC.
Jorma Rissanen. Modeling by shortest data description. Automatica, 14(5):465–471, 1978.
Karl Johan Åström and Richard M Murray. Feedback systems: an introduction for scientists and engineers. Princeton university press, 2021.