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| Content Provider | Springer Nature Link |
|---|---|
| Author | Zhou, Ping Xiang, Bo Fu, Jun Chai, Tian You |
| Copyright Year | 2012 |
| Abstract | Compared with model approximation for general SISO transfer function models with or without a single constant delay, the approximation problem for SISO transfer function models with multiple delays has received much less attention. In this paper, we attack this problem and thus present a multiple-point step response fitting based approximation method to derive the reduced models. A simple frequency-domain weighted recursive least squares (RLS) algorithm is proposed to determine a set of parameters so that the reduced models can approximate the original models by minimizing the defined frequency-domain squared-error between the step responses of the original and the reduced model. Numerical examples have demonstrated that the proposed approximation approach can not only introduce less dynamic approximation error, but also yield zero steady-state error. |
| Starting Page | 180 |
| Ending Page | 185 |
| Page Count | 6 |
| File Format | |
| ISSN | 15986446 |
| Journal | International Journal of Control, Automation and Systems |
| Volume Number | 10 |
| Issue Number | 1 |
| e-ISSN | 20054092 |
| Language | English |
| Publisher | Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers |
| Publisher Date | 2012-02-04 |
| Publisher Place | Heidelberg |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Frequency-domain model approximation multiple delay transfer function models (MDTFM) multiple-point step response fitting weighted recursive least squares (RLS) Control, Robotics, Mechatronics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Computer Science Applications |
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