Výsledky vyhledávání - "M Zeljko Djurovic"

An application of decentralized estimation in a fault detection problem

Autor: Srdjan S. Stankovic, M Zeljko Djurovic, R Predrag Tadic, S Milos Stankovic

Publikováno v: Serbian Journal of Electrical Engineering, Vol 6, Iss 3, Pp 373-387 (2009)

This paper presents a design of a decentralized fault detection and isolation (FDI) filter by means of an overlapping decentralized estimation algorithm based on a consensus strategy. An efficient solution to the FDI problem can be obtained by an ade

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bb5df3607a1da4739c961bf06320da8
https://doi.org/10.2298/sjee0903373t

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On strong consistency of a class of recursive stochastic Newton-Raphson type algorithms with application to robust linear dynamic system identification

Autor: P Ivana Kovacevic, D Branko Kovacevic, M Zeljko Djurovic

Publikováno v: Facta universitatis - series: Electronics and Energetics. 21:1-21

The recursive stochastic algorithms for estimating the parameters of linear discrete-time dynamic systems in the presence of disturbance uncertainty has been considered in the paper. Problems related to the construction of min-max optimal recursive a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6bf95f9ed1258e0709b32b50aa2d61fb
https://doi.org/10.2298/fuee0801001k

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Adaptive filtering based on recurrent neural networks

Autor: Dejan Kihas, D Branko Kovacevic, M Zeljko Djurovic

Publikováno v: Journal of Automatic Control. 13:13-24

Kalman filter is an optimal filtering solution in certain cases, however, it is more often than not, regarded as a non-robust filter. The slight mismatch in noise statistics or process model may lead to large performance deterioration and the loss of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abdcc18a20328d0243edb01e0d550a69
https://doi.org/10.2298/jac0301013k

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Adaptive filtering algorithms in target tracking applications

Autor: M Zeljko Djurovic, D Branko Kovacevic, Igor Jovandic

Publikováno v: Facta universitatis - series: Electronics and Energetics. 16:317-326

Comparison of several target tracking algorithms is presented. Namely discrete noise level adjustment (DNLA), variable state dimension (VSD) and interacting multiple model (IMM) algorithms are discussed. Target trajectory, target models, filtering al

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2a088284463a765d648cb3b5cec949ce
https://doi.org/10.2298/fuee0303317j

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