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AUTOMATICA

ISSN:

0005-1098

eISSN:

1873-2836

Disciplines
(Field of Science):

  • Automation, electronic and electrical engineering (Engineering and Technology)
  • Biomedical engineering (Engineering and Technology)
  • Mechanical engineering (Engineering and Technology)

Ministry points: Help

Ministry points
2020 200 Ministry Scored Journals List 2019
Ministry points
Year Points List
2020 200 Ministry Scored Journals List 2019
2019 200 Ministry Scored Journals List 2019
2018 45 A
2017 45 A
2016 45 A
2015 45 A
2014 45 A
2013 45 A
2012 40 A
2011 40 A
2010 32 A
2009 32 A
2008 32 A

Model:

Hybrid

Punkty CiteScore:

Punkty CiteScore
2018 8.3
Punkty CiteScore
Year Points
2018 8.3
2017 7.45
2016 6.96

Impact Factor:

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Publishing policy:

Pre-print
author's version of the article before the review
Post-print
author's version of the article after the review

Status table SHERPA RoMEO

Status table SHERPA RoMEO
RoMEO color Archiving policy
Green can archive pre-prints and post-prints or a version of the publisher
Blue can archive post-prints
Yellow can archive pre-prints
White can not archive any materials
Gray unknown

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total: 12

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Catalog Journals

2020
  • A new look at the statistical identification of nonstationary systems

    The paper presents a new, two-stage approach to identification of linear time-varying stochastic systems, based on the concepts of preestimation and postfiltering. The proposed preestimated parameter trajectories are unbiased but have large variability. Hence, to obtain reliable estimates of system parameters, the preestimated trajectories must be further filtered (postfiltered). It is shown how one can design and optimize such...

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2019
  • Generalized Savitzky–Golay filters for identification of nonstationary systems
    Publication

    The problem of identification of nonstationary systems using noncausal estimation schemes is consid-ered and a new class of identification algorithms, combining the basis functions approach with localestimationtechnique,isdescribed.Unliketheclassicalbasisfunctionestimationschemes,theproposedlocal basis function estimators are not used to obtain interval approximations of the parametertrajectory, but provide a sequence of point...

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2017
2013
2011
  • On noncausal weighted least squares identification of nonstationary stochastic systems
    Publication

    - AUTOMATICA - 2011

    In this paper, we consider the problem of noncausal identification of nonstationary, linear stochastic systems, i.e., identification based on prerecorded input/output data. We show how several competing weighted (windowed) least squares parameter smoothers, differing in memory settings, can be combined together to yield a better and more reliable smoothing algorithm. The resulting parallel estimation scheme automatically adjusts...

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2010
  • Easy recipes for cooperative smoothing
    Publication

    In this paper we suggest how several competing signal smoothers, differing in design parameters, or even in design principles, can be combined together to yield a better and more reliable smoothing algorithm. The proposed heuristic, but statistically well motivated, fusion mechanism allows one to combine practically all kinds of smoothers, from simple local averaging or order statistic filters, to parametric smoothers designed...

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2009
2008
  • On ''cheap smoothing'' opportunities in identification of time-varying systems
    Publication

    In certain applications of nonstationary system identification the model-based decisions can be postponed, i.e. executed with a delay. This allows one to incorporate into the identification process not only the currently available information, but also a number of ''future'' data points. The resulting estimation schemes, which involve smoothing, are not causal. Despite the possible performance improvements, the existing smoothing...

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  • On the lower smoothing bound in identification of time-varying systems
    Publication

    In certain applications of nonstationary system identification the model-based decisions can be postponed, i.e. executed with a delay. This allows one to incorporate in the identification process not only the currently available information, but also a number of ''future'' data points. The resulting estimation schemes, which involve smoothing, are not causal. Assuming that the infinite observation history is available, the paper...

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  • Optimal and suboptimal algorithms for identification of time-varying systems with randomly drifting parameters
    Publication

    Noncausal estimation algorithms, which involve smoothing, can be used for off-line identification of nonstationary systems. Since smoothingis based on both past and future data, it offers increased accuracy compared to causal (tracking) estimation schemes, incorporating past data only. It is shown that efficient smoothing variants of the popular exponentially weighted least squares and Kalman filter-based parameter trackers can...

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2007
2002
  • A J-lossless coprime factorisation approach to H control in delta domain
    Publication

    Praca dotyczy sterowania wielowymiarowym obiektem dynamicznym czasu ciągłego opisanym dyskretnoczasowym modelem w przestrzeni stanu, przy założeniu, że wskaźnik jakości sterowania oparty jest na normie H-inf. Odpowiednie zadanie optymalizacji tego wskaźnika rozwiązuje się, stosując tak zwaną względnie pierwszą J-bezstratną faktoryzację modelu sterowanego. Pokazano, że synteza optymalnego sterownika, wymagająca rozwiązania dwóch...

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