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Analysis and identi...
Analysis and identification of complex stochastic systems admitting a flocking structure
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- Bottegal, Giulio (author)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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Picci, G. (author)
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(creator_code:org_t)
- Elsevier BV, 2014
- 2014
- English.
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In: IFAC Proceedings Volumes (IFAC-PapersOnline). - : Elsevier BV. - 1474-6670. - 9783902823625 ; , s. 2323-2328
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.3...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Publication and Content Type
- ref (subject category)
- kon (subject category)
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