A new structure for nonlinear black-box system identification using the extended Kalman filter

A new tool for black-box non-linear system identification of multi-input multi-output systems is presented in this paper. The new structure extends the conventional linear state-space model into a non-linear framework, where each parameter is a non-linear function of the inputs or the states. The me...

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Bibliographic Details
Main Authors: Karol Bogdanski, Matt Best
Format: Default Article
Published: 2017
Subjects:
Mechanical engineering not elsewhere classified
Other engineering not elsewhere classified
Non-linear system identification
Black-box system
Extended Kalman filter
State-space
Brake model
Mechanical Engineering
Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/24215
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