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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Daniel-Berhe, S. |
| Copyright Year | 2000 |
| Description | Author affiliation: Control Eng. Lab., Ruhr-Univ., Bochum, Germany (Daniel-Berhe, S.) |
| Abstract | In this paper, a new real-time on-line batch scheme recursive LS approach is proposed for physically-based parameters identification of nonlinear continuous-time plant using Hartley modulating functions (HMF) and facilitated by interactive real-time toolbox. The method is implemented by moving a fixed window size of time series data one step forward at each sampling time and by updating recursively the regressand vector and regression matrix of the system HMF model that consists of updating the sequential Hartley transforms and spectra for each coming sample of input-output signals. The method is applied on a separately excited DC motor and load plant to examine the performance and potential of the proposed real-time on-line identification approach. |
| Starting Page | 584 |
| Ending Page | 589 |
| File Size | 478428 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780358120 |
| DOI | 10.1109/ICIT.2000.854233 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-01-19 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mathematical model Parameter estimation Circuits Recursive estimation MATLAB Computational modeling Nonlinear dynamical systems Instruments Control engineering Laboratories |
| Content Type | Text |
| Resource Type | Article |
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