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Sökning: swepub > Karlstads universitet > Mossberg Magnus

  • Resultat 1-10 av 99
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1.
  • Mossberg, Magnus, et al. (författare)
  • Approximative weighting for a covariance-matching approach for identifying errors-in-variables systems
  • 2011
  • Ingår i: International journal of adaptive control and signal processing (Print). - : Wiley. - 0890-6327 .- 1099-1115. ; 47:2, s. 272-282
  • Tidskriftsartikel (refereegranskat)abstract
    • A covariance-matching approach for identifying errors-in-variables systems has previously been proposed and analyzed. It has been demonstrated that the gain in accuracy can be substantial if an optimal weighting is used. The computation of the optimal weighting requires knowledge of true parameters of signals and systems. This paper describes how the optimal weighting can be computed approximately from the available noisy data and thereby offers a way to identify errors-in-variables systems with high accuracy. Numerical examples indicate that using this approximately optimal weighting gives an accuracy that is close to the accuracy obtained by using the optimal weighting.
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  • Irshad, Yasir, 1977-, et al. (författare)
  • System identification in a networked environment using second order statistical properties
  • 2013
  • Ingår i: Automatica. - : Elsevier BV. - 0005-1098 .- 1873-2836. ; 49:2, s. 652-659
  • Tidskriftsartikel (refereegranskat)abstract
    • System identification for networked control is considered. Due to the time-delays in the network, it can be difficult to work with a discrete-time model and a continuous-time model is therefore chosen. A covariance function based method that relies on the second order statistical properties of the output signal, where it is assumed that the input signal samples are from a discrete-time white noise sequence, is proposed for estimating the parameters. The method is easy to use since the actual time instants when new input signal levels are applied at the actuator do not have to be known. An analysis of the networked system and the effects of the time-delays is made, and the results of the analysis motivate and support the chosen approach. Numerical studies indicate that the method is robust to randomly distributed time-delays, packet drop-outs, and additive measurement noise.
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  • Larsson, Erik K., et al. (författare)
  • An overview of important practical aspects of continuous-time ARMA system identification
  • 2006
  • Ingår i: Circuits, systems, and signal processing. - : Springer Science and Business Media LLC. - 0278-081X .- 1531-5878. ; 25:1, s. 17-46
  • Tidskriftsartikel (refereegranskat)abstract
    • The problem of estimating the parameters in continuous-time autoregressive moving average (ARMA) processes from discrete-time data is considered. Both direct and indirect methods are studied, and similarities and differences are discussed. A general discussion of the inherent difficulties of the problem is given together with a comprehensive study on how the choice of the sampling interval influences the estimation result. A special focus is given to how the Cramer-Rao lower bound depends on the sampling interval.
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