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Torsten Söderström

Torsten Söderström

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
24011
World Ranking
2132
National Ranking
27

Research.com Recognitions

  • 1992 - IEEE Fellow For fundamental contributions to system identification

Overview

Torsten Söderström is affiliated with Uppsala University in Sweden. Their research spans multiple fields, primarily focused on engineering and computer science. Within these areas, Söderström has contributed extensively to subfields such as control and systems engineering, civil and structural engineering, signal processing, computational mechanics, and artificial intelligence.

The main topics of their work include:

  • Control Systems and Identification
  • Structural Health Monitoring Techniques
  • Fault Detection and Control Systems
  • Blind Source Separation Techniques
  • Advanced Adaptive Filtering Techniques
  • Neural Networks and Applications
  • Image and Signal Denoising Methods

Among Söderström's recent papers are the following:

  • Aspects on errors-in-variables identification: Some ways to mitigate a large bias, 2023, IFAC-PapersOnLine
  • When Are Errors-in-Variables Aspects Important to Consider in System Identification?, 2022, 2022 European Control Conference (ECC)
  • Frequency domain identification of FIR models in the presence of additive input-output noise, 2020, Automatica
  • Blind identification of two-channel FIR systems: a frequency domain approach, 2020, IFAC-PapersOnLine
  • The Frisch scheme for EIV system identification: time and frequency domain formulations, 2020, IFAC-PapersOnLine

Söderström's frequent co-author is Umberto Soverini, with whom they have collaborated on multiple papers. The principal publication venues where their work appears include IFAC-PapersOnLine, Automatica, and the 2022 European Control Conference (ECC).

In recognition of contributions to system identification, Söderström was named an IEEE Fellow in 1992.

Best Publications

  • System identification

    T. Söderström;P. Stoica

  • Theory and Practice of Recursive Identification

    Lennart Ljung;Torsten Söderström

  • Identification of processes in closed loop-identifiability and accuracy aspects

    I. Gustavsson;L. Ljung;T. Söderström

  • Instrumental Variable Methods for System Identification

    Torsten Söderström;Petre Stoica

  • Errors-in-Variables Methods in System Identification

    Torsten Söderström

  • Maximum likelihood estimation of the parameters of multiple sinusoids from noisy measurements

    P. Stoica;R.L. Moses;B. Friedlander;T. Soderstrom

  • Discrete-Time Stochastic Systems: Estimation and Control

    Torsten Soderstrom

  • Paper: A theoretical analysis of recursive identification methods

    T. Söderström;L. Ljung;I. Gustavsson

  • Papers: Identification of stochastic linear systems in presence of input noise

    Torsten Söderström

  • Statistical analysis of MUSIC and subspace rotation estimates of sinusoidal frequencies

    P. Stoica;T. Soderstrom

  • Uniqueness of the maximum likelihood estimates of the parameters of an ARMA model

    K. Astrom;T. Soderstrom

  • Discrete-time Stochastic Systems

    Torsten Söderström

  • Comparison of some instrumental variable methods-Consistency and accuracy aspects

    T. Söderström;P. Stoica

  • Instrumental-variable methods for identification of Hammerstein systems

    Petre Stoica;Torsten Söderstrom

  • The Steiglitz-McBride identification algorithm revisited--Convergence analysis and accuracy aspects

    P. Stoica;T. Soderstrom

  • On model structure testing in system identification

    T. Soderstrom

  • Identification of linear, multivariable systems operating under linear feedback control

    L. Ljung;I. Gustavsson;T. Soderstrom

  • Least squares parameter estimation of continuous-time ARX models from discrete-time data

    T. Soderstrom;H. Fan;B. Carlsson;S. Bigi

  • Convergence properties of the generalised least squares identitication method

    Torsten Söderström

  • Identifiability conditions for linear systems operating in closed loop

    Torsten Söderström;Ivar Gustavsson;Lennart Ljung

Frequent Co-Authors

Petre Stoica
Petre Stoica Uppsala University
Lennart Ljung
Lennart Ljung Linköping University
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz
Wei Xing Zheng
Wei Xing Zheng Western Sydney University
Randolph L. Moses
Randolph L. Moses The Ohio State University
Peter Händel
Peter Händel Royal Institute of Technology
Bo Wahlberg
Bo Wahlberg Royal Institute of Technology
Johan Schoukens
Johan Schoukens Eindhoven University of Technology
Rik Pintelon
Rik Pintelon Vrije Universiteit Brussel
Bengt Lennartson
Bengt Lennartson Chalmers University of Technology

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