Lennart Ljung

ORCID

Publication Activity (10 Years)

Years Active: 1972-2024
Publications (10 Years): 42

Top Venues

CoRR

CDC

Autom.

IEEE Trans. Autom. Control.

Publications

Biqiang Mu, Lennart Ljung, Tianshi Chen
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification. Autom. 160 (2024)
Farnaz Adib Yaghmaie, Fredrik Gustafsson, Lennart Ljung
Linear Quadratic Control Using Model-Free Reinforcement Learning. IEEE Trans. Autom. Control. 68 (2) (2023)
Yue Ju, Biqiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyperparameter Estimator. IEEE Trans. Autom. Control. 68 (12) (2023)
Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
Deep networks for system identification: a Survey. CoRR (2023)
Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR (2022)
Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves
Dynamic network reconstruction from heterogeneous datasets. Autom. 123 (2021)
Farnaz Adib Yaghmaie, Lennart Ljung
A Crash Course on Reinforcement Learning. CoRR (2021)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Ye Yuan, Jorge M. Gonçalves
System Aliasing in Dynamic Network Reconstruction: Issues on Low Sampling Frequencies. IEEE Trans. Autom. Control. 66 (12) (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
. CDC (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR (2021)
Lennart Ljung
Revisiting Total Model Errors and Model Validation. J. Syst. Sci. Complex. 34 (5) (2021)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On the Influence of Ill-conditioned Regression Matrix on Hyper-parameter Estimators for Kernel-based Regularization Methods. CDC (2020)
Qinghua Zhang, Lennart Ljung, Rik Pintelon
On Local LTI Model Coherence for LPV Interpolation. IEEE Trans. Autom. Control. 65 (8) (2020)
Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung
Deep State Space Models for Nonlinear System Identification. CoRR (2020)
Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods. CoRR (2020)
Lennart Ljung, Tianshi Chen, Bi-Qiang Mu
A shift in paradigm for system identification. Int. J. Control 93 (2) (2020)
Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey, Lennart Ljung, Mladen Gibanica, Rajiv Singh
Improving Linear State-Space Models with Additional Iterations. CoRR (2020)
Chengpu Yu, Lennart Ljung, Adrian Wills, Michel Verhaegen
Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS). IEEE Trans. Autom. Control. 65 (10) (2020)
Lennart Ljung
On Convexification of System Identification Criteria. Autom. Remote. Control. 80 (9) (2019)
Johan Schoukens, Lennart Ljung
Nonlinear System Identification: A User-Oriented Roadmap. CoRR (2019)
Valentin Pascu, Hugues Garnier, Lennart Ljung, Alexandre Janot
Benchmark problems for continuous-time model identification: Design aspects, results and perspectives. Autom. 107 (2019)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Goncalves
A state-space approach to sparse dynamic network reconstruction. CoRR (2018)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identification of Nonlinear State-Space Systems From Heterogeneous Datasets. IEEE Trans. Control. Netw. Syst. 5 (2) (2018)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods. Autom. 94 (2018)
Chengpu Yu, Lennart Ljung, Michel Verhaegen
Identification of structured state-space models. Autom. 90 (2018)
Bo Wahlberg, Lennart Ljung
Algorithms and Performance Analysis for Stochastic Wiener System Identification. IEEE Control. Syst. Lett. 2 (3) (2018)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification. CDC (2018)
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
Maximum Entropy Kernels for System Identification. IEEE Trans. Autom. Control. 62 (3) (2017)
Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurelie C. Lozano, Gianluigi Pillonetto
Generalized Kalman smoothing: Modeling and algorithms. Autom. 86 (2017)
Qinghua Zhang, Lennart Ljung
From structurally independent local LTI models to LPV model. Autom. 84 (2017)
Chengpu Yu, Jie Chen, Lennart Ljung, Michel Verhaegen
Subspace identification of continuous-time models using generalized orthonormal bases. CDC (2017)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods. CoRR (2017)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Goncalves
On definition and inference of nonlinear Boolean dynamic networks. CDC (2017)
Bi-Qiang Mu, Tianshi Chen, Lennart Ljung
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs. CDC (2017)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. 66 (2016)
Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves
Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Exploring Matrix Logarithms. CoRR (2016)
Chengpu Yu, Lennart Ljung, Michel Verhaegen
Gray Box Identification of State-Space Models Using Difference of Convex Programming. CoRR (2016)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. 69 (2016)
Tianshi Chen, Lennart Ljung
On kernel design for regularized LTI system identification. CoRR (2016)
Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves
Linear Dynamic Network Reconstruction from Heterogeneous Datasets. CoRR (2016)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC (2016)
Valentin Pascu, Hugues Garnier, Lennart Ljung, Alexandre Janot
Developments towards formalizing a benchmark for continuous-time model identification. CDC (2016)
Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR (2015)
Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR (2015)
Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
Spectral analysis of the DC kernel for regularized system identification. CDC (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying Biochemical Reaction Networks From Heterogeneous Datasets. CoRR (2015)
Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan
Identifying biochemical reaction networks from heterogeneous datasets. CDC (2015)
Tianshi Chen, Lennart Ljung
Regularized system identification using orthonormal basis functions. ECC (2015)
Tianshi Chen, Lennart Ljung
Regularized system identification using orthonormal basis functions. CoRR (2015)
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
Scalable anomaly detection in large homogeneous populations. Autom. 50 (5) (2014)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
On the design of multiple kernels for nonparametric linear system identification. CDC (2014)
Francesca Paola Carli, Tianshi Chen, Lennart Ljung
Maximum Entropy Kernels for System Identification. CoRR (2014)
Lennart Ljung, Graham C. Goodwin, Juan C. Agüero
Stochastic Embedding revisited: A modern interpretation. CDC (2014)
Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. 59 (11) (2014)
Bo Wahlberg, James S. Welsh, Lennart Ljung
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem. CDC (2014)
Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung
Kernel methods in system identification, machine learning and function estimation: A survey. Autom. 50 (3) (2014)
Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC (2014)
Lennart Ljung, Tianshi Chen
What Can Regularization Offer for Estimation of Dynamical Systems? ALCOSP (2013)
Tianshi Chen, Lennart Ljung
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification. Autom. 49 (7) (2013)
Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
Regularization strategies for nonparametric system identification. CDC (2013)
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
Kernel-Based Model Order Selection for Linear System Identification. ALCOSP (2013)
Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry
Scalable Anomaly Detection in Large Homogenous Populations. CoRR (2013)
Henrik Ohlsson, Lennart Ljung
Identification of switched linear regression models using sum-of-norms regularization. Autom. 49 (4) (2013)
Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
Kernel-based model order selection for identification and prediction of linear dynamic systems. CDC (2013)
Lennart Ljung, Tianshi Chen
Convexity issues in system identification. ICCA (2013)
Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness
Identification of Hammerstein-Wiener models. Autom. 49 (1) (2013)
Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
Rank-1 kernels for regularized system identification. CDC (2013)
Sina Khoshfetrat Pakazad, Henrik Ohlsson, Lennart Ljung
Sparse control using sum-of-norms regularized model predictive control. CDC (2013)
Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels. CDC (2012)
Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC (2012)
Tianshi Chen, Henrik Ohlsson, Lennart Ljung
On the estimation of transfer functions, regularizations and Gaussian processes - Revisited. Autom. 48 (8) (2012)
Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd
Smoothed state estimates under abrupt changes using sum-of-norms regularization. Autom. 48 (4) (2012)
Henrik Ohlsson, Lennart Ljung
A convex approach to subspace clustering. CDC/ECC (2011)
Diego S. Carrasco, Lennart Ljung, Graham C. Goodwin, Juan C. Agüero
On the accuracy of parameter estimation for continuous time nonlinear systems from sampled data. CDC/ECC (2011)
Christian Lyzell, S. Torkel Glad, Martin Enqvist, Lennart Ljung
Difference algebra and system identification. Autom. 47 (9) (2011)
Lennart Ljung, Håkan Hjalmarsson, Henrik Ohlsson
Four Encounters with System Identification. Eur. J. Control 17 (5-6) (2011)
Tianshi Chen, Henrik Ohlsson, Graham C. Goodwin, Lennart Ljung
Kernel selection in linear system identification part II: A classical perspective. CDC/ECC (2011)
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
Decentralized Particle Filter With Arbitrary State Decomposition. IEEE Trans. Signal Process. 59 (2) (2011)
Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
A General Convergence Result for Particle Filtering. IEEE Trans. Signal Process. 59 (7) (2011)
Jonas Gillberg, Lennart Ljung
Frequency domain identification of continuous-time output error models, Part II: Non-uniformly sampled data and B-spline output approximation. Autom. 46 (1) (2010)
Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd
State smoothing by sum-of-norms regularization. CDC (2010)
Lennart Ljung
Perspectives on system identification. Annu. Rev. Control. 34 (1) (2010)
Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd
Trajectory generation using sum-of-norms regularization. CDC (2010)
Lennart Ljung, Adrian Wills
Issues in sampling and estimating continuous-time models with stochastic disturbances. Autom. 46 (5) (2010)
Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung
Decentralization of particle filters using arbitrary state decomposition. CDC (2010)
Odd Fredriksson, Lennart Ljung
Critical Success Conditions for Enterprise Systems Change Projects. AMCIS (2010)
Jonas Gillberg, Lennart Ljung
Frequency domain identification of continuous-time output error models, Part I: Uniformly sampled data and frequency function approximation. Autom. 46 (1) (2010)
Henrik Ohlsson, Lennart Ljung, Stephen P. Boyd
Segmentation of ARX-models using sum-of-norms regularization. Autom. 46 (6) (2010)
Henrik Ohlsson, Maite Bauwens, Lennart Ljung
On manifolds, climate reconstruction and bivalve shells. CDC (2009)
Odd Fredriksson, Lennart Ljung
Modern Enterprise Systems as Enablers of Agile Development. ISD (2009)
Svante Björklund, Lennart Ljung
An improved phase method for time-delay estimation. Autom. 45 (10) (2009)
Jiandong Wang, Qinghua Zhang, Lennart Ljung
Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation. Autom. 45 (11) (2009)
Jonas Gillberg, Lennart Ljung
Frequency-domain identification of continuous-time ARMA models from sampled data. Autom. 45 (6) (2009)
Jiandong Wang, Qinghua Zhang, Lennart Ljung
Revisiting the Two-Stage Algorithm for Hammerstein system identification. CDC (2009)
Anna Hagenblad, Lennart Ljung, Adrian Wills
Maximum likelihood identification of Wiener models. Autom. 44 (11) (2008)
Henrik Ohlsson, Jacob Roll, Lennart Ljung
Manifold-constrained regressors in system identification. CDC (2008)
Xiao-Li Hu, Thomas B. Schön, Lennart Ljung
A Basic Convergence Result for Particle Filtering. IEEE Trans. Signal Process. 56 (4) (2008)
Henrik Ohlsson, Jacob Roll, Anders Brun, Hans Knutsson, Mats T. Andersson, Lennart Ljung
Direct Weight Optimization applied to discontinuous functions. CDC (2008)
Ingela Lind, Lennart Ljung
Regressor and structure selection in NARX models using a structured ANOVA approach. Autom. 44 (2) (2008)
Christian Lyzell, Jacob Roll, Lennart Ljung
The use of nonnegative garrote for order selection of ARX models. CDC (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lennart Ljung