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Log-Normal Merging for Distributed System Identification
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SYSNO ASEP 0328917 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Log-Normal Merging for Distributed System Identification Title Lognormální skládání pravděpodobností pro distribuovanou identifikaci systémů Author(s) Šmídl, Václav (UTIA-B) RID, ORCID
Kárný, Miroslav (UTIA-B) RID, ORCIDSource Title Proceedings of the 15th IFAC Symposium on System Identification. - Saint Malo : IFAC, 2009 Pages s. 1-6 Number of pages 6 s. Publication form www - www Action 15th IFAC Symposium on System Identification Event date 06.07.2009-08.07.2009 VEvent location Saint Malo Country FR - France Event type WRD Language eng - English Country FR - France Keywords Bayesian Methods ; Hybrid and Distributed System Identification ; Particle Filtering/Monte Carlo Methods Subject RIV BC - Control Systems Theory R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GP102/08/P250 GA ČR - Czech Science Foundation (CSF) GA102/08/0567 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation Growing interest in applications of distributed systems, such as multi-agent systems, increases demands on identification of distributed systems from partial information sources collected by local agents. We are concerned with fully distributed scenario where system is identified by multiple agents, which do not estimate state of the whole system but only its local `state'. The resulting estimate is obtained by merging of marginal and conditional posterior probability density functions (pdf) on such local states. We investigate the use of recently proposed non-parametric log-normal merging of such `fragmental' pdfs for this task. We derive a projection of the optimal merger to the class of weighted empirical pdfs and mixtures of Gaussian pdfs. We illustrate the use of this technique on distributed identification of a controlled autoregressive model. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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