A hybrid backtracking search algorithm with wavelet mutation-based nonlinear system identification of Hammerstein models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
http://link.springer.com/article/10.1007/s11760-016-1041-z/fulltext.html
Reference24 articles.
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3. Bai, E.W.: Identification of linear systems with hard input nonlinearities of known structure. Automatica 38(5), 853–860 (2002)
4. Boutayeb, M., Rafaralahy, H., Darouach, M.: A robust and recursive identification method for Hammerstein model. In: Proceedings of the IFAC World Congress, San Francisco, CA, pp. 447–452 (1996)
5. Brest, J., Greiner, S., Bǒskovi, B., Mernik, M., Zumer, V.: Self-adapting control parameters in differential evolution: a comparative study on numerical benchmark problems. IEEE Trans. Evol. Comput. 10(6), 646–657 (2006)
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