Jessica A. Santos, Ginalber L. O. Serra, "Fuzzy Hammerstein Model Based States Space Identification Approach of Nonlinear Dynamics Systems," WSEAS Transactions on Systems, vol. 17, pp. 89-98, 2018, DOI:
Jessica A. Santos, Ginalber L. O. Serra. Fuzzy Hammerstein Model Based States Space Identification Approach of Nonlinear Dynamics Systems.
WSEAS Transactions on Systems. 2018;17:89-98.
WSEAS Transactions on Systems
Print ISSN: 1109-2777, E-ISSN: 2224-2678
Volume 17, 2018
Fuzzy Hammerstein Model Based States Space Identification Approach of Nonlinear Dynamics Systems
Authors: ,
Abstract: This paper presents a novel methodology for evolving fuzzy identification of nonlinear systems in state space based on Hammerstein models. The nonlinear static characteristic is approximated by an evolving Takagi-Sugeno fuzzy model and the linear dynamics by a state space model. The recursive estimation of the linear model in state space is performed based on the system Markov parameters applied to the algorithm of minimum realization ERA. Computational results illustrate the effectiveness of the proposed method in the online identification of nonlinear systems.
Pages: 89-98 WSEAS Transactions on Systems, ISSN / E-ISSN: 1109-2777 / 2224-2678, Volume 17, 2018, Art. #10 DOI: *As the DOI is a unique identifier, it is already available in the pdf version.
**The DOI link will be activated in the first midst of January 2026.
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