Input estimation as a qualitative trend analysis problem
• A new method for unknown process input estimation is proposed. • The method combines shape constrained spline estimation with convolution operators. • Simultaneous input and parameter estimation is also shown to be feasible. • The method is demonstrated with an oxygen data series in a biological p...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Thürlimann, Christian M. [verfasserIn] |
|---|
| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Umfang: |
10 |
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| Übergeordnetes Werk: |
Enthalten in: 1100 Adjuvant treatment of G2/high grade non-muscle invasive bladder cancer: Mytomicin or Bacillus Calmette-Guèrin? - Palou, J. ELSEVIER, 2014, an international journal of computer applications in chemical engineering, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:107 ; year:2017 ; day:5 ; month:12 ; pages:333-342 ; extent:10 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compchemeng.2017.04.011 |
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| 520 | |a • A new method for unknown process input estimation is proposed. • The method combines shape constrained spline estimation with convolution operators. • Simultaneous input and parameter estimation is also shown to be feasible. • The method is demonstrated with an oxygen data series in a biological process. • The method is favorably compared to an existing method based on regularization. | ||
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