Adaptive IIR Filtering for System Identification Applying the Method by Nelder and Mead

Author:

Guliashki VassilORCID,Marinova GaliaORCID

Publisher

Springer International Publishing

Reference27 articles.

1. Geerardyn, E.: Development of user-friendly aystem identification technques. Thesis for the degree Doctor in Engineering, Faculty of Engineering, Department “Fundamental Electricity and Instrumentation (ELEC)”, Vrije University Brussels/VUB, ISBN: 978-9-4619743-2-7 (2016). https://github.com/egeerardyn/phdthesis

2. Ibraheem, I.K.: Adaptive IIR and FIR filtering using evolutionary LMS algorithm in view of system identification. Int. J. Comput. Appl. (0975 - 8887) 182(11), 31–39 (2018). https://doi.org/10.5120/ijca2018917740

3. Favier, G.: An overview of system modeling and identification. In: 11-th International conference on Sciences and Techniques of Automatic control & computer engineering (STA 2010), Monastir, Tunisia (2010). https://www.researchgate.net/publication/266170681An_overview_of_system_modeling_and_identification_Invited_paper

4. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning, ISBN-13: 978–0201157673. Addison Wesley, Reading, Mass (1989)

5. Titel, F., Belarbi, K.: Identification of dynamic systems using a genetic algorithm-based fuzzy wavelet neural network approach. In: Proceedings of the 3rd International Conference on Systems and Control, pp. 6–11 (2013)

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