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Delgado, A., Kambhampati, C. and Warwick, K. (1995) Identification of nonlinear systems with a dynamic recurrent neural network. In: Fourth International Conference on Artificial Neural Networks, 26-28 June 1995, Cambridge, UK, pp. 318-322, 10.1049/cp:19950575.
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To link to this item DOI: 10.1049/cp:19950575
Abstract/Summary
Two approaches are presented to calculate the weights for a Dynamic Recurrent Neural Network (DRNN) in order to identify the input-output dynamics of a class of nonlinear systems. The number of states of the identified network is constrained to be the same as the number of states of the plant.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Refereed: | Yes |
| Divisions: | Science |
| ID Code: | 21667 |
| Uncontrolled Keywords: | dynamic recurrent neural network, identification, identified network, nonlinear systems, states |
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