Search Results - "Söderström, Torsten"
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On identification methods for direct data-driven controller tuning
Published in International journal of adaptive control and signal processing (01-05-2011)“…In non‐iterative data‐driven controller tuning, a set of measured input/output data of the plant is used directly to identify the optimal controller that…”
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2
A user perspective on errors-in-variables methods in system identification
Published in Control engineering practice (01-08-2019)“…The paper starts with a brief survey of errors-in-variables methods in system identification. Background and motivation are given, and it is illustrated why…”
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Errors-in-variables identification using maximum likelihood estimation in the frequency domain
Published in Automatica (Oxford) (01-05-2017)“…This paper deals with the identification of errors-in-variables (EIV) models corrupted by additive and uncorrelated white Gaussian noises when the noise-free…”
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Frequency domain identification of FIR models in the presence of additive input–output noise
Published in Automatica (Oxford) (01-05-2020)“…This paper describes a new approach for identifying FIR models from a finite number of measurements, in the presence of additive and uncorrelated white noise…”
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Errors-in-variables methods in system identification
Published in Automatica (Oxford) (01-06-2007)“…The paper gives a survey of errors-in-variables methods in system identification. Background and motivation are given, and examples illustrate why the…”
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System identification for the errors-in-variables problem
Published in Transactions of the Institute of Measurement and Control (01-10-2012)“…In this paper we give an overview of errors-in-variables methods in system identification. Background and motivation are given. Simple examples illustrate why…”
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A generalized instrumental variable estimation method for errors-in-variables identification problems
Published in Automatica (Oxford) (01-08-2011)“…The errors-in-variables identification problem concerns dynamic systems whose input and output variables are affected by additive noise. Several estimation…”
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A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification
Published in Automatica (Oxford) (01-12-2019)“…Recently, maximum likelihood estimators were derived for frequency domain identification of linear time-invariant models with Gaussian input–output…”
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Errors-in-variables system identification using structural equation modeling
Published in Automatica (Oxford) (01-04-2016)“…Errors-in-variables (EIV) identification refers to the problem of consistently estimating linear dynamic systems whose output and input variables are affected…”
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A generalised instrumental variable estimator for multivariable errors-in-variables identification problems
Published in International journal of control (01-03-2012)“…A new and very general estimation method, the generalised instrumental variable estimator (GIVE) has been introduced to deal with the errors-in-variables…”
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Comparing some classes of bias-compensating least squares methods
Published in Automatica (Oxford) (01-03-2013)“…Three different classes of bias-compensating least squares identification methods are compared, and shown to be identical. It is also discussed how the user…”
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A unified framework for EIV identification methods when the measurement noises are mutually correlated
Published in Automatica (Oxford) (01-12-2014)“…In this paper, the previously introduced Generalized Instrumental Variable Estimator (GIVE) is extended to the case of errors-in-variables models where the…”
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Extending the Frisch scheme for errors-in-variables identification to correlated output noise
Published in International journal of adaptive control and signal processing (01-02-2008)“…Several estimation methods have been proposed for identifying errors‐in‐variables systems, where both input and output measurements are corrupted by noise. One…”
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Extended accuracy analysis of a covariance matching approach for identifying errors-in-variables systems
Published in Automatica (Oxford) (01-10-2014)“…A covariance matching approach for identifying errors-in-variables systems is analyzed for the general case. The asymptotic covariance matrix of the jointly…”
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Accuracy analysis of a covariance matching approach for identifying errors-in-variables systems
Published in Automatica (Oxford) (01-02-2011)“…A system identification method for errors-in-variables problems based on covariance matching was recently proposed. In the first step, a small amount of…”
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Accuracy analysis of time domain maximum likelihood method and sample maximum likelihood method for errors-in-variables and output error identification
Published in Automatica (Oxford) (01-04-2010)“…For identifying errors-in-variables models, the time domain maximum likelihood (TML) method and the sample maximum likelihood (SML) method are two approaches…”
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System identification in a networked environment using second order statistical properties
Published in Automatica (Oxford) (01-02-2013)“…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…”
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Advanced point-mass method for nonlinear state estimation
Published in Automatica (Oxford) (01-07-2006)“…State estimation of discrete-time nonlinear non-Gaussian stochastic systems by point-mass approach, which is based on discretization of state space by a…”
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Can errors-in-variables systems be identified from closed-loop experiments?
Published in Automatica (Oxford) (01-02-2013)“…Errors-in-variables (EIV) systems are known to be identifiable not generally, but under some specific conditions. These conditions are normally formulated for…”
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On the accuracy of a covariance matching method for continuous-time errors-in-variables identification
Published in Automatica (Oxford) (01-10-2013)“…An analysis of a covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is made. In the covariance…”
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