Name
Abstract | ||
|---|---|---|
This paper investigates the presence and the effects of multiple minima in the loss function to be minimized in time-delay estimation methods based on least squares. It is shown how in most cases a low-pass filtering action is required on data used in the identification phase in order to estimate the proper delay value. The results presented are derived by means of a frequency-domain interpretation of the least-squares technique. The paper does not focus on a specific estimation algorithm, rather it presents a scenario to accommodate many recently published identification methods. Some numerical examples illustrate the main results. |
Year | DOI | Venue |
|---|---|---|
1996 | 10.1016/0005-1098(95)00172-7 | Automatica |
Keywords | Field | DocType |
least-squares method,time delay,frequency domain,loss function,least square method,low pass filter,least square,recursive least squares | Least squares,Mathematical optimization,Identifiability,Filter (signal processing),Maxima and minima,Minification,Minimisation (psychology),Estimation theory,Mathematics,Recursive least squares filter | Journal |
Volume | Issue | ISSN |
32 | 3 | 0005-1098 |
Citations | PageRank | References |
10 | 0.90 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. Ferretti | 1 | 79 | 10.14 |
| C. Maffezzoni | 2 | 62 | 13.15 |
| R. Scattolini | 3 | 335 | 60.41 |