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...
| Published in: | International Journal on Advanced Science, Engineering and Information Technology |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Insight Society
2016
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84995804411&doi=10.18517%2fijaseit.6.5.919&partnerID=40&md5=3c966e87829ca48e798ce1520303725c |