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Electronics and Electrical Engineering
Sweden
2026
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Engineering and Technology
Sweden
2022

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
94
Citations
44736
World Ranking
245
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Sweden Leader Award
  • 2022 - Research.com Engineering and Technology in Sweden Leader Award
  • 2016 - Member of Academia Europaea
  • 2007 - IEEE Control Systems Award “For seminal contributions to system identification and its impact on industrial practice.”
  • 2005 - Fellow of the International Federation of Automatic Control (IFAC)
  • 2004 - Member of the National Academy of Engineering For contributions to the understanding and practical uses of system identification theory and techniques.
  • 1985 - IEEE Fellow For contributions to recursive parameter estimation and adaptive control.

Overview

Lennart Ljung is affiliated with Linköping University in Sweden and has made contributions primarily in the fields of engineering and computer science. Their research focuses notably on control and systems engineering, artificial intelligence, civil and structural engineering, applied mathematics, and statistics, probability, and uncertainty.

The scientist's work spans several key topics, including control systems and identification, fault detection and control systems, structural health monitoring techniques, statistical and numerical algorithms, probabilistic and robust engineering design, statistical methods and inference, and neural networks and applications.

Among their recent papers are:

  • Deep Learning and System Identification (2020, IFAC-PapersOnLine)
  • Deep networks for system identification: A survey (2024, Automatica)
  • Linear Quadratic Control Using Model-Free Reinforcement Learning (2022, IEEE Transactions on Automatic Control)
  • Full Bayesian identification of linear dynamic systems using stable kernels (2023, Proceedings of the National Academy of Sciences)
  • Deep State Space Models for Nonlinear System Identification (2021, IFAC-PapersOnLine)

Ljung has collaborated frequently with other researchers in the field, including Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Biqiang Mu, and Gianluigi Pillonetto.

Their publications have appeared regularly in venues such as IFAC-PapersOnLine, arXiv (Cornell University), International Journal of Adaptive Control and Signal Processing, Automatica, and IEEE Transactions on Automatic Control.

In addition to journal articles, Ljung has contributed to book publications, including "Regularized System Identification" published in 2022 under the Communications and Control Engineering series.

The scientist has been recognized with several awards, including:

  • Member of Academia Europaea (2016)
  • IEEE Control Systems Award (2007) for contributions to system identification and its industrial impact
  • Fellow of the International Federation of Automatic Control (IFAC) (2005)
  • Member of the National Academy of Engineering (2004) for advances in system identification theory and techniques
  • IEEE Fellow (1985) for work on recursive parameter estimation and adaptive control

Best Publications

  • System Identification: Theory for the User

    Lennart Ljung

  • Theory and Practice of Recursive Identification

    Lennart Ljung;Torsten Söderström

  • Nonlinear black-box modeling in system identification: a unified overview

    Jonas Sjöberg;Qinghua Zhang;Lennart Ljung;Albert Benveniste

  • Analysis of recursive stochastic algorithms

    L. Ljung

  • Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems

    L. Ljung

  • Modeling of dynamic systems

    Lennart Ljung;Torkel Glad

  • Closed-loop identification revisited

    Urban Forssell;Lennart Ljung

  • Paper: Theory and applications of self-tuning regulators

    K. J. Åström;U. Borisson;L. Ljung;B. Wittenmark

  • Survey Kernel methods in system identification, machine learning and function estimation: A survey

    Gianluigi Pillonetto;Francesco Dinuzzo;Tianshi Chen;Giuseppe De Nicolao

  • On global identifiability for arbitrary model parametrizations

    Lennart Ljung;Torkel Glad

  • System identification (2nd ed.): theory for the user

    Lennart Ljung

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

    I. Gustavsson;L. Ljung;T. Söderström

  • Subspace-based multivariable system identification from frequency response data

    T. McKelvey;H. Akcay;L. Ljung

  • Convergence analysis of parametric identification methods

    L. Ljung

  • Perspectives on System Identification

    Lennart Ljung

  • Nonlinear black-box models in system identification: mathematical foundations

    Anatoli Juditsky;Håkan Hjalmarsson;Albert Benveniste;Bernard Delyon

  • On positive real transfer functions and the convergence of some recursive schemes

    L. Ljung

  • Identification of piecewise affine systems via mixed-integer programming

    Jacob Roll;Alberto Bemporad;Lennart Ljung

  • System identification toolbox for use with MATLAB

    Lennart Ljung

  • On the estimation of transfer functions, regularizations and Gaussian processes-Revisited

    Tianshi Chen;Henrik Ohlsson;Lennart Ljung

  • Application of Fast Kalman Estimation to Adaptive Equalization

    D. Falconer;L. Ljung

  • Maximum Likelihood Identification of Wiener Models

    Anna Hagenblad;Lennart Ljung;Adrian George Wills

  • Fast calculation of gain matrices for recursive estimation schemes

    Lennart Ljung;Martin Morf;David Falconer

  • Control Theory: Multivariable and Nonlinear Methods

    Torkel Glad;Lennart Ljung

  • The Extended Kalman Filter as a Parameter Estimator for Linear Systems

    Lennart Ljung

Frequent Co-Authors

Thomas Kailath
Thomas Kailath Stanford University
Fredrik Gustafsson
Fredrik Gustafsson Linköping University
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Benjamin Friedlander
Benjamin Friedlander University of California, Santa Cruz
Michel Verhaegen
Michel Verhaegen Delft University of Technology
Karl Johan Åström
Karl Johan Åström Lund University
Björn Wittenmark
Björn Wittenmark Lund University
Michel Gevers
Michel Gevers Université Catholique de Louvain
Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Graham C. Goodwin
Graham C. Goodwin University of Newcastle Australia

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