A new identification method for continuous-time fractional order Hammerstein systems
Author:
Affiliation:
1. University of Electronic Science and Technology of China,School of Mathematical Sciences,Chengdu,P.R.,China,611731
2. University of Electronic Science and Technology of China,School of Mathematical Sciences,Chengdu,P.R. China,611731
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09901581.pdf?arnumber=9901581
Reference20 articles.
1. Identification of fractional Hammerstein system with application to a heating process;hammar;Nonlinear Dynamics,2019
2. Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient
3. Recursive Identification for Fractional Order Hammerstein Model Based on ADELS;jin;Mathematical Problems in Engineering,2018
4. An ef-fective approach to nonlinear Hammerstein model identification using evolutionary neural network;akramizadeh;in Proceedings of the IEEE int joint conference on neural networks (IJCNN),2004
5. Fully parametric identification for continuous time fractional order Hammerstein systems
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