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- Bottegal, GiulioKTH,Reglerteknik,ACCESS Linnaeus Centre (author)
Analysis and identification of complex stochastic systems admitting a flocking structure
- Article/chapterEnglish2014
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- Elsevier BV,2014
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:kth-175137
- https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175137URI
- https://doi.org/10.3182/20140824-6-za-1003.01615DOI
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- Language:English
- Summary in:English
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- QC 20151012
- We discuss a new modeling paradigm for large dimensional aggregates of stochastic systems by Generalized Factor Analysis (GFA) models. These models describe the data as the sum of a flocking plus an uncorrelated idiosyncratic component. The flocking component describes a sort of collective orderly motion which admits a much simpler mathematical description than the whole ensemble while the idiosyncratic component describes weakly correlated noise. The extraction of the dynamic flocking component is discussed for time-stationary systems.
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- Picci, G. (author)
- KTHReglerteknik (creator_code:org_t)
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- In:IFAC Proceedings Volumes (IFAC-PapersOnline): Elsevier BV, s. 2323-23281474-66709783902823625
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