DATA-BASED MODELLING OF NONLINEAR SYSTEMS USING A MODIFIED LOLIMOT ALGORITHM

Author:

Rezaie Javad,Tourani Farzam,Moshiri Behzad,Araabi Babak N.

Publisher

Elsevier BV

Subject

General Medicine

Reference22 articles.

1. Maximum likelihood from incomplete data via the EM algorithm (with discussions).;Dempster;J. Roy. Statist. Soc.: B,1977

2. Gan, Q., Harris, C. J. (1999a). Multi-sensor data fusion using Kalman filters based on linearized process models. In: Proceedings of the inter. Conf. on Data Fusion, EuroFusion 99, UK, 1999, pp. 105-112.

3. Fuzzy local linearization and local basis function expansion in nonlinear system modeling;Gan;IEEE Trans. Syst. Man Cybern.,1999

4. Neurofuzzy state estimators using a modified ASMOD and Kalman filter algorithm;Gan;Inter. Conf. on Comp. Intellig. for Modelling Control and Auto., Vienna, Austria,,1999

5. Adaptive Modelling, Estimation and Fusion from Data: A NeuroFuzzy Approach;Harris,2002

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