A novel input design approach for systems with quantized output data

Title: A novel input design approach for systems with quantized output data
Creator: Godoy, Boris I.; Valenzuela, Patricio E.; Rojas, Christian R.; Agüero, Juan C.; Ninness, Brett
Relation: 2014 European Control Conference (ECC 2014). Proceedings of the 2014 European Control Conference (Strasbourg, France 24-27 June, 2014) p. 1049-1054
Publisher Link: http://dx.doi.org/10.1109/ECC.2014.6862329
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Resource Type: conference paper
Date: 2014
Description: 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.
Subject: estimation; finite impulse response filters; Markov processes; noise; optimized production technology; quantization (signal); sensors
Identifier: http://hdl.handle.net/1959.13/1064655
Identifier: uon:17616
Identifier: ISBN:9783952426913
Language: eng
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