Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/29115| Title: | Recursive structure estimation for nonlinear identification with modular networks |
| Authors: | Kadirkamanathan, Visakan Fabri, Simon G. |
| Keywords: | Linear control systems Modular programming Nonlinear control theory Parameter estimation |
| Issue Date: | 1998 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Kadirkamanathan, V., & Fabri, S. G. (1998). Recursive structure estimation for nonlinear identification with modular networks. Proceedings of the 1998 IEEE Signal Processing Society Workshop, Cambridge. 343-350. |
| Abstract: | The paper presents a recursive nonlinear identification scheme with modular networks consisting of local linear models. New local linear models are added on-line as and when necessary. The algorithms is developed within a probabilistic framework and utilises the Kalman filter for estimation of model parameters. Simulated results demonstrate the operation of the algorithm. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/29115 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Recursive_structure_estimation_for_nonlinear_identification_with_modular_networks.pdf Restricted Access | 382.2 kB | Adobe PDF | View/Open Request a copy |
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