A novel input design approach for systems with quantized output data
2014 (English)In: 2014 European Control Conference, ECC, IEEE , 2014, 1049-1054 p.Conference paper (Refereed)
In this paper, we explore the problem of input design for systems with quantized measurements. For the input design problem, we calculate and optimize a function of the Fisher Information Matrix (FIM). The calculation of the FIM is greatly simplified by using known relationships of the derivative of the likelihood function, and the auxiliary function arising from the Expectation Maximization (EM) algorithm. To optimize the FIM, we design an experiment using a recently published method based on graph theory. A numerical example shows that the proposed experiment can be successfully used in quantized systems.
Place, publisher, year, edition, pages
IEEE , 2014. 1049-1054 p.
Algorithms, Design, Experiments, Graph theory, Auxiliary functions, Expectation-maximization algorithms, Input design, Likelihood functions, Output data, Quantized measurements, Quantized systems
IdentifiersURN: urn:nbn:se:kth:diva-157970DOI: 10.1109/ECC.2014.6862329ISI: 000349955701058ScopusID: 2-s2.0-84911494808ISBN: 978-395242691-3OAI: oai:DiVA.org:kth-157970DiVA: diva2:773616
13th European Control Conference, ECC 2014, Strasbourg Convention and Exhibition CenterPlace de Bordeaux, Strasbourg, France, 24 June 2014 through 27 June 2014
FunderSwedish Research Council, 621-2010-5819Swedish Research Council, 621-2011-5890EU, European Research Council, 267381