Lennart Ljung

Orcid: 0000-0003-4881-8955

Affiliations:
  • Linköping University, Sweden


According to our database1, Lennart Ljung authored at least 189 papers between 1972 and 2025.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 1985, "For contributions to recursive parameter estimation and adaptive control.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep networks for system identification: A survey.
Autom., 2025

2024
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification.
Autom., February, 2024

Deep Learning of Dynamic Systems using System Identification Toolbox(TM).
CoRR, 2024

2023
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator.
IEEE Trans. Autom. Control., December, 2023

Linear Quadratic Control Using Model-Free Reinforcement Learning.
IEEE Trans. Autom. Control., February, 2023

2022
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator.
CoRR, 2022

2021
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies.
IEEE Trans. Autom. Control., 2021

Revisiting Total Model Errors and Model Validation.
J. Syst. Sci. Complex., 2021

Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model.
CoRR, 2021

A Crash Course on Reinforcement Learning.
CoRR, 2021

Dynamic network reconstruction from heterogeneous datasets.
Autom., 2021

On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification<sup>*</sup>.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
On Local LTI Model Coherence for LPV Interpolation.
IEEE Trans. Autom. Control., 2020

Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS).
IEEE Trans. Autom. Control., 2020

A shift in paradigm for system identification.
Int. J. Control, 2020

Deep State Space Models for Nonlinear System Identification.
CoRR, 2020

On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods.
CoRR, 2020

Improving Linear State-Space Models with Additional Iterations.
CoRR, 2020

On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Nonlinear System Identification: A User-Oriented Roadmap.
CoRR, 2019

Benchmark problems for continuous-time model identification: Design aspects, results and perspectives.
Autom., 2019

On Convexification of System Identification Criteria.
Autom. Remote. Control., 2019

2018
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets.
IEEE Trans. Control. Netw. Syst., 2018

Algorithms and Performance Analysis for Stochastic Wiener System Identification.
IEEE Control. Syst. Lett., 2018

A state-space approach to sparse dynamic network reconstruction.
CoRR, 2018

Identification of structured state-space models.
Autom., 2018

On asymptotic properties of hyperparameter estimators for kernel-based regularization methods.
Autom., 2018

Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Maximum Entropy Kernels for System Identification.
IEEE Trans. Autom. Control., 2017

From structurally independent local LTI models to LPV model.
Autom., 2017

Generalized Kalman smoothing: Modeling and algorithms.
Autom., 2017

On definition and inference of nonlinear Boolean dynamic networks.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Subspace identification of continuous-time models using generalized orthonormal bases.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On the input design for kernel-based regularized LTI system identification: Power-constrained inputs.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Linear Dynamic Network Reconstruction from Heterogeneous Datasets.
CoRR, 2016

Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Exploring Matrix Logarithms.
CoRR, 2016

Gray Box Identification of State-Space Models Using Difference of Convex Programming.
CoRR, 2016

On kernel design for regularized LTI system identification.
CoRR, 2016

Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint.
Autom., 2016

Maximum entropy properties of discrete-time first-order stable spline kernel.
Autom., 2016

Developments towards formalizing a benchmark for continuous-time model identification.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Continuous-time DC kernel - A stable generalized first order spline kernel.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
System Identification: An Overview.
Proceedings of the Encyclopedia of Systems and Control, 2015

Regularized system identification using orthonormal basis functions.
Proceedings of the 14th European Control Conference, 2015

Identifying biochemical reaction networks from heterogeneous datasets.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Spectral analysis of the DC kernel for regularized system identification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques.
IEEE Trans. Autom. Control., 2014

Kernel methods in system identification, machine learning and function estimation: A survey.
Autom., 2014

Scalable anomaly detection in large homogeneous populations.
Autom., 2014

Identification of wiener systems with process noise is a nonlinear errors-in-variables problem.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Stochastic Embedding revisited: A modern interpretation.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On the design of multiple kernels for nonparametric linear system identification.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Scalable Anomaly Detection in Large Homogenous Populations.
CoRR, 2013

Identification of Hammerstein-Wiener models.
Autom., 2013

Identification of switched linear regression models using sum-of-norms regularization.
Autom., 2013

Implementation of algorithms for tuning parameters in regularized least squares problems in system identification.
Autom., 2013

Convexity issues in system identification.
Proceedings of the 10th IEEE International Conference on Control and Automation, 2013

Kernel-based model order selection for identification and prediction of linear dynamic systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Sparse control using sum-of-norms regularized model predictive control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Regularization strategies for nonparametric system identification.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Rank-1 kernels for regularized system identification.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Kernel-Based Model Order Selection for Linear System Identification.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

What Can Regularization Offer for Estimation of Dynamical Systems?
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
Smoothed state estimates under abrupt changes using sum-of-norms regularization.
Autom., 2012

On the estimation of transfer functions, regularizations and Gaussian processes - Revisited.
Autom., 2012

Sparse multiple kernels for impulse response estimation with majorization minimization algorithms.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A General Convergence Result for Particle Filtering.
IEEE Trans. Signal Process., 2011

Decentralized Particle Filter With Arbitrary State Decomposition.
IEEE Trans. Signal Process., 2011

Four Encounters with System Identification.
Eur. J. Control, 2011

Difference algebra and system identification.
Autom., 2011

A convex approach to subspace clustering.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Kernel selection in linear system identification part II: A classical perspective.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On the accuracy of parameter estimation for continuous time nonlinear systems from sampled data.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Segmentation of ARX-models using sum-of-norms regularization.
Autom., 2010

Issues in sampling and estimating continuous-time models with stochastic disturbances.
Autom., 2010

Frequency domain identification of continuous-time output error models, Part II: Non-uniformly sampled data and B-spline output approximation.
Autom., 2010

Frequency domain identification of continuous-time output error models, Part I: Uniformly sampled data and frequency function approximation.
Autom., 2010

Perspectives on system identification.
Annu. Rev. Control., 2010

State smoothing by sum-of-norms regularization.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Trajectory generation using sum-of-norms regularization.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Decentralization of particle filters using arbitrary state decomposition.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Critical Success Conditions for Enterprise Systems Change Projects.
Proceedings of the Sustainable IT Collaboration Around the Globe. 16th Americas Conference on Information Systems, 2010

2009
Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation.
Autom., 2009

Frequency-domain identification of continuous-time ARMA models from sampled data.
Autom., 2009

An improved phase method for time-delay estimation.
Autom., 2009

Modern Enterprise Systems as Enablers of Agile Development.
Proceedings of the Information Systems Development, 2009

Revisiting the Two-Stage Algorithm for Hammerstein system identification.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

On manifolds, climate reconstruction and bivalve shells.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
A Basic Convergence Result for Particle Filtering.
IEEE Trans. Signal Process., 2008

Regressor and structure selection in NARX models using a structured ANOVA approach.
Autom., 2008

Maximum likelihood identification of Wiener models.
Autom., 2008

Manifold-constrained regressors in system identification.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Direct Weight Optimization applied to discontinuous functions.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

The use of nonnegative garrote for order selection of ARX models.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
On parameter and state estimation for linear differential-algebraic equations.
Autom., 2007

A robust particle filter for state estimation - with convergence results.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Connections between optimisation-based regressor selection and analysis of variance.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Guest Editorial: Special Issue on System Identification.
IEEE Trans. Autom. Control., 2005

Nonlinear system identification via direct weight optimization.
Autom., 2005

A novel subspace identification approach with enforced causal models.
Autom., 2005

Regressor selection with the analysis of variance method.
Autom., 2005

Linear approximations of nonlinear FIR systems for separable input processes.
Autom., 2005

Consistent Nonparametric Estimation of NARX Systems Using Convex Optimization.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Well-posedness of Filtering Problems for Stochastic Linear DAE Models.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Identification of piecewise affine systems via mixed-integer programming.
Autom., 2004

Nonlinear dynamics isolated by delaunay triangulation criteria.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

On consistency of closed-loop subspace identification with innovation estimation.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Interactive analysis of time-varying systems using volume graphics.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Integrated frequency-time domain tools for system identification.
Proceedings of the 2004 American Control Conference, 2004

State of the art in linear system identification: time and frequency domain methods.
Proceedings of the 2004 American Control Conference, 2004

2003
Variance Properties of a Two-step ARX Estimation Procedure.
Eur. J. Control, 2003

Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties.
Eur. J. Control, 2003

Local modelling with a priori known bounds using direct weight optimization.
Proceedings of the 7th European Control Conference, 2003

Initialisation aspects for subspace and output-error identification methods.
Proceedings of the 7th European Control Conference, 2003

A review of time-delay estimation techniques.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

2002
Using the bootstrap to estimate the variance in the case of undermodeling.
IEEE Trans. Autom. Control., 2002

L<sub>2</sub> Model reduction and variance reduction.
Autom., 2002

Comparing different approaches to model error modeling in robust identification.
Autom., 2002

Asymptotically optimal smoothing of averaged LMS estimates for regression parameter tracking.
Autom., 2002

Some facts about the choice of the weighting matrices in Larimore type of subspace algorithms.
Autom., 2002

A non-asymptotic approach to local modelling.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Identification for control: simple process models.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Clustered regression analysis.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Estimating nonlinear systems in a neighborhood of LTI-approximants.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Asymptotic variance expressions for estimated frequency functions.
IEEE Trans. Autom. Control., 2001

Estimating Linear Time-invariant Models of Nonlinear Time-varying Systems.
Eur. J. Control, 2001

On-line identification and adaptive trajectory tracking for nonlinear stochastic continuous time systems using differential neural networks.
Autom., 2001

Asymptotic variance expressions for closed-loop identification.
Autom., 2001

Robust high-gain DNN observer for nonlinear stochastic continuous time systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Uncertain LTI-models for linear control design of non-linear systems.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Identification of hybrid systems via mixed-integer programming.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
A projection method for closed-loop identification.
IEEE Trans. Autom. Control., 2000

Identification of unstable systems using output error and Box-Jenkins model structures.
IEEE Trans. Autom. Control., 2000

Letters to the Editor on the paper 'Dynamic Wavelet and Equivalent Models' by O.M. Boaghe and S.A. Billings.
Eur. J. Control, 2000

Ensuring monotonic gain characteristics in estimated models by fuzzy model structures.
Autom., 2000

Some results on optimal experiment design.
Autom., 2000

Aspects on the interpretation of disturbances in system identification.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

An iterative method for identification of ARX models from incomplete data.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Maximum likelihood estimation of Wiener models.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999
An alternative motivation for the indirect approach to closed-loop identification.
IEEE Trans. Autom. Control., 1999

Closed-loop identification revisited.
Autom., 1999

1998
Comments on model validation as set membership identification.
Proceedings of the Robustness in Identification and Control, Workshop Robustness in Identification and Control, Siena, Italy, July 30, 1998

1997
Shaping frequency-dependent time resolution when estimating spectral properties with parametric methods.
IEEE Trans. Signal Process., 1997

The role of model validation for assessing the size of the unmodeled dynamics.
IEEE Trans. Autom. Control., 1997

Necessary and sufficient conditions for stability of LMS.
IEEE Trans. Autom. Control., 1997

1996
Decomposition methods for solving least-squares parameter estimation.
IEEE Trans. Signal Process., 1996

Subspace-based multivariable system identification from frequency response data.
IEEE Trans. Autom. Control., 1996

On the choice of norms in system identification.
IEEE Trans. Autom. Control., 1996

Subspace identification from closed loop data.
Signal Process., 1996

Vibration data analysis for a commercial aircraft : Multivariable vibration data from an aircraft is analyzed using modern system identification tools. The identified linear vibrational model accurately describes the measured motion.
Autom., 1996

Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data.
Autom., 1996

Automatica prize paper awards 1996.
Autom., 1996

1995
Performance analysis of general tracking algorithms.
IEEE Trans. Autom. Control., 1995

Exponential stability of general tracking algorithms.
IEEE Trans. Autom. Control., 1995

Nonlinear black-box modeling in system identification: a unified overview.
Autom., 1995

Nonlinear black-box models in system identification: Mathematical foundations.
Autom., 1995

1994
On global identifiability for arbitrary model parametrizations.
Autom., 1994

1993
Modelling of Industrial Systems.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

1992
Identification: Time-Domain Methods.
Proceedings of the Concise Encyclopedia of Modelling & Simulation, 1992

Identification: Recursive Methods.
Proceedings of the Concise Encyclopedia of Modelling & Simulation, 1992

Identification: Maximum Likelihood Method.
Proceedings of the Concise Encyclopedia of Modelling & Simulation, 1992

Identification: Least-Squares Method.
Proceedings of the Concise Encyclopedia of Modelling & Simulation, 1992

Identification: Basic Problem.
Proceedings of the Concise Encyclopedia of Modelling & Simulation, 1992

1990
Adaptation and tracking in system identification - A survey.
Autom., 1990

1989
Frequency domain tracking characteristics of adaptive algorithms.
IEEE Trans. Acoust. Speech Signal Process., 1989

Asymptotic results for sensor array processing.
Proceedings of the IEEE International Conference on Acoustics, 1989

Frequency domain description of the tracking capability and disturbance rejection trade-off in recursive identification.
Proceedings of the IEEE International Conference on Acoustics, 1989

1986
Optimal experiment designs with respect to the intended model application.
Autom., 1986

1985
Unprejudiced optimal open loop input design for identification of transfer functions.
Autom., 1985

Adaptive control based on explicit criterion minimization.
Autom., 1985

Error propagation properties of recursive least-squares adaptation algorithms.
Autom., 1985

On the estimation of transfer functions.
Autom., 1985

1984
Analysis of stochastic gradient algorithms for linear regression problems.
IEEE Trans. Inf. Theory, 1984

Adaptive control, where are we?
Autom., 1984

1982
On-line structure selection for multivariable state-space models.
Autom., 1982

Recursive identification techniques.
Proceedings of the IEEE International Conference on Acoustics, 1982

1981
Frequency domain versus time domain methods in system identification.
Autom., 1981

Analysis of a general recursive prediction error identification algorithm.
Autom., 1981

1980
Comments on 'non-convergence of the approximate maximum likelihood identification algorithm'.
Autom., 1980

1978
Fast time-invariant implementations of Gaussian signal detectors.
IEEE Trans. Inf. Theory, 1978

Application of Fast Kalman Estimation to Adaptive Equalization.
IEEE Trans. Commun., 1978

A theoretical analysis of recursive identification methods.
Autom., 1978

1977
Identification of processes in closed loop - identifiability and accuracy aspects.
Autom., 1977

Theory and applications of self-tuning regulators.
Autom., 1977

1976
Backwards Markovian models for second-order stochastic processes (Corresp.).
IEEE Trans. Inf. Theory, 1976

A unified approach to smoothing formulas.
Autom., 1976

1972
Comments on "A Stochastic Approximation Method".
IEEE Trans. Syst. Man Cybern., 1972


  Loading...