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Recursive identification of a hybrid system
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.ORCID iD: 0000-0003-0177-1993
2015 (English)In: 2009 European Control Conference, ECC 2009, 2015, 4907-4912 p.Conference paper, Published paper (Refereed)
Abstract [en]

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 x1(t),...,xn(t) are observed using a single measuring device so that the output y(ti) of the device at each sampling point is an observation of precisely one of x1(t),...,xn(t). The process can be modeled as a discrete switched system. We develop a recursive Classification, Correction and Identification Algorithm (CCIA), that recovers xj(ti) and the switching parameter δj(ti) together with the ratio zj of measurements from each state xj(ti).

Place, publisher, year, edition, pages
2015. 4907-4912 p.
Keyword [en]
Algorithms, Hybrid systems, Discrete switched systems, Identification algorithms, Measuring device, Recursive identification, Sampling points, Switching parameters, Identification (control systems)
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-167413Scopus ID: 2-s2.0-84955214797ISBN: 9783952417393 (print)OAI: oai:DiVA.org:kth-167413DiVA: diva2:813259
Conference
2009 10th European Control Conference, ECC 2009, 23 August 2009 through 26 August 2009
Note

QC 20150522

Available from: 2015-05-22 Created: 2015-05-22 Last updated: 2016-05-25Bibliographically approved

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Hu, Xiaoming

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