Recursive identification of a hybrid system
| Autor: | Tove Gustavi, Clyde F. Martin, Xiaoming Hu, Maja Karasalo |
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| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | ECC Scopus-Elsevier |
| DOI: | 10.23919/ecc.2009.7075177 |
| Popis: | In this paper we consider the problem of retrieving information from a set of noisy and distorted measurements. More precisely we consider a scenario where a set of trajectories x 1 (t),…,x n (t) are observed using a single measuring device so that the output y(t i ) of the device at each sampling point is an observation of precisely one of x 1 (t),…,x n (t). The process can be modeled as a discrete switched system. We develop a recursive Classification, Correction and Identification Algorithm (CCIA), that recovers x j (t i ) and the switching parameter δ j (t i ) together with the ratio z j of measurements from each state x j (t i ). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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