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BackgroundI have a M Sc in engineering physics (Civilingenjör teknisk fysik), 1969, and a PhD in automatic control (Tekn Dr i reglerteknik), 1973, both from Lund Institute of Technology. I moved to Uppsala University in 1974, where I was a professor of automatic control until fall 2011, when I became professor emeritus. I was the head of the Department of Systems and Control 1975-1999. I am an IEEE Life Fellow and an IFAC Fellow.Short CV Research interestsMy main research interests are in the fields of system identification, statistical signal processing, identification of continuous-time models, error-in-variables problems, parameter estimation in infinite-dimensional systems, numerical algorithms in control and signal processing, adaptive filtering, and modelling and control of mechanical systems. |
| T. Söderström: Errors-in-Varibles
Methods in System Identification, Springer, 2018. T. Söderström: How accurate can instrumental variable models become? In L. Wang and H. Garnier, eds: System Identification, Environmental Modelling and Control, Springer-Verlag, 2012. T. Söderström: Linear stochastic input-output models. Chapter 60 In W. Levine, ed.: The Control Handbook, Control System Advance Methods, 2nd ed,Taylor and Francis, UK, 2011. E. K. Larsson, M. Mossberg and T. Söderström: Estimation of Continuous-time Stochastic System Parameters. In H. Garnier and L. Wang, eds.: Identification of Continuous-time Models from Sampled Data. Springer-Verlag, 2008. T. Söderström: Identifying characteristics of viscoelastic materials from wave propagation experiments -- recent advances. In T. Glad and G. Hendeby, eds.: Forever Ljung in System Identification, Studentlitteratur, Lund, 2006. T. Söderström: Identification of linear systems in time domain. Encyclopedia of Life Support Systems (EOLSS), developed under the auspices of Unesco, EOLSS publishers, Oxford, UK, 2003. [http://www.eolss.net] T. Söderström: Prediction error methods. Encyclopedia of Life Support Systems (EOLSS), developed under the auspices of Unesco, EOLSS publishers, Oxford, UK, 2003. [http://www.eolss.net] T. Söderström: Discrete-Time Stochastic Systems - Estimation and Control.Second edition, Springer-Verlag, London, UK, 2002. (375 pp) |
Journal papers
| U. Soverini and T.
Söderström: Frequency domain identification of FIR models in
the presence of additive input-output noise. Automatica, vol 115,
May 2020, 108879. D. Verbeke, T. Söderström and U. Soverini: A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification. Automatica, vol 110, December 2019, 108584. T. Söderström: A user perspective on errors-in-variables methods in system identification. Control Engineering Practice, vol 89, pp 56-69, 2019. A feature paper for the series of Frontiers in Control Engineering Practice. T. Söderström and U. Soverini: Errors-in-variables identification using maximum likelihood in the frequency domain. Automatica, vol 79, pp 131-143, May 2017. D. Kreiberg, T. Söderström and F. Yang-Wallentin: Errors-in-variables identification using structural equation modeling. Automatica, vol 66, pp 218-230, April 2016. T. Söderström, R. Diversi and U. Soverini: A unified framework for EIV identification methods when the measurement noises are mutually correlated. Automatica, vol 50, no 12, pp 3216-3223, December 2014. T. Söderström, D. Kreiberg and M. Mossberg: Extended Accuracy Analysis of a Covariance Matching Approach for Identifying Errors-in-variables Systems. Automatica, vol 50, no 10, pp 2597-2605, October 2014. |
Conference papers
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T. Söderström and U. Soverini: Aspects of
errors-in-variables identification: Some ways to mitigate
a large bias. 22nd IFAC World Congress, Yokohama, Japan,
July 9-14, 2023.
T. Söderström and U. Soverini: When are errors-in-variables aspects important to consider in system identification?, European Control Conference, London, UK, July 9-14, 2022. U. Soverini and T. Söderström: Blind identification of two-channel FIR systems: a frequency domain approach. 21st IFAC World Congress, Berlin, Germany, July 12-17, 2000. U. Soverini and T. Söderström: The Frisch scheme for EIV system identification: time and frequency domain formulations. 21st IFAC World Congress, Berlin, Germany, July 12-17, 2000. U. Soverini and T. Söderström: 2D frequency domain identification of complex sinusoids in the presence of additive noise. 28th IFAC Symposium on System Identification, Stockholm, Sweden, July 9-11, 2018. U. Soverini and T. Söderström: Identification of
two-dimensional complex sinusoids in white noise: a state
space frequency approach. 28th IFAC Symposium on System Identification,
Stockholm, Sweden, July 9-11, 2018.
U. Soverini and T. Söderström: Frequency domain identification of complex sinusoids in the presence of additive noise. 20th IFAC World Congress, Toulouse, France, July 9-14, 2017. U. Soverini and T. Söderström: Frequency domain identification of ARX models in the presence of additive input-output noise. 20th IFAC World Congress, Toulouse, France, July 9-14, 2017. U. Soverini and T. Söderström: Frequency domain identification of autoregressive models in the presence of additive noise (Invited paper). WSEAS Conference Computer Science, ECCS16, Rome, Italy, October 21-23, 2016. U. Soverini and T. Söderström: Frequency domain EIV identification combining the Frisch scheme and Yule-Walker equations. European Control Conference, Linz, Austria, July 15-17, 2015. T. Söderström, R. Diversi and U. Soverini: A unified framework for EIV identification methods in the presence of mutually correlated noises. IFAC 19th World Congress, Cape Town, South Africa, August 24-29, 2014. U. Soverini and T. Söderström: Frequency domain maximum likelihood identification of noisy input-output models. IFAC 19th World Congress, Cape Town, South Africa, August 24-29, 2014. U. Soverini and T. Söderström: Frequency domain EIV identification: a Frisch Scheme approach. IFAC 19th World Congress, Cape Town, South Africa, August 24-29, 2014. |