Binary particle swarm optimization structure selection of nonlinear autoregressive moving average with exogenous inputs (NARMAX) model of a flexible robot arm
The Nonlinear Auto-Regressive Moving Average with Exogenous Inputs (NARMAX) model is a powerful, efficient and unified representation of a variety of nonlinear models. The model's construction involves structure selection and parameter estimation, which can be simultaneously performed using the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Insight Society
2016
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |