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ORCIDLennart Ljung
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- affiliation: Linköping University, Sweden
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2020 – today
- 2025
[j105]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: A survey. Autom. 171: 111907 (2025)- 2024
- [j104]Biqiang Mu
, Lennart Ljung, Tianshi Chen:
When cannot regularization improve the least squares estimate in the kernel-based regularized system identification. Autom. 160: 111442 (2024) - [i21]Tianyu Dai, Khaled Aljanaideh, Rong Chen, Rajiv Singh, Alec Stothert, Lennart Ljung:
Deep Learning of Dynamic Systems using System Identification Toolbox(TM). CoRR abs/2409.07642 (2024) - 2023
- [j103]Farnaz Adib Yaghmaie, Fredrik Gustafsson, Lennart Ljung:
Linear Quadratic Control Using Model-Free Reinforcement Learning. IEEE Trans. Autom. Control. 68(2): 737-752 (2023) - [j102]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): 7224-7239 (2023) - [i20]Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön:
Deep networks for system identification: a Survey. CoRR abs/2301.12832 (2023) - 2022
- [i19]Yue Ju, Bi-Qiang Mu, Lennart Ljung, Tianshi Chen:
Asymptotic Theory for Regularized System Identification Part I: Empirical Bayes Hyper-parameter Estimator. CoRR abs/2209.12231 (2022) - 2021
- [j101]Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves:
Dynamic network reconstruction from heterogeneous datasets. Autom. 123: 109339 (2021) - [j100]Lennart Ljung:
Revisiting Total Model Errors and Model Validation. J. Syst. Sci. Complex. 34(5): 1598-1603 (2021) - [j99]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): 5788-5801 (2021) - [c66]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
On Asymptotic Distribution of Generalized Cross Validation Hyper-parameter Estimator for Regularized System Identification*. CDC 2021: 1598-1602 - [i18]Farnaz Adib Yaghmaie, Lennart Ljung:
A Crash Course on Reinforcement Learning. CoRR abs/2103.04910 (2021) - [i17]Yue Ju, Tianshi Chen, Bi-Qiang Mu, Lennart Ljung:
Tutorial on Asymptotic Properties of Regularized Least Squares Estimator for Finite Impulse Response Model. CoRR abs/2112.10319 (2021) - 2020
- [j98]Lennart Ljung, Tianshi Chen, Bi-Qiang Mu:
A shift in paradigm for system identification. Int. J. Control 93(2): 173-180 (2020) - [j97]Qinghua Zhang, Lennart Ljung, Rik Pintelon:
On Local LTI Model Coherence for LPV Interpolation. IEEE Trans. Autom. Control. 65(8): 3671-3676 (2020) - [j96]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): 4201-4214 (2020) - [c65]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: 300-305 - [i16]Suat Gumussoy, Ahmet Arda Ozdemir, Tomas McKelvey, Lennart Ljung, Mladen Gibanica, Rajiv Singh:
Improving Linear State-Space Models with Additional Iterations. CoRR abs/2003.06304 (2020) - [i15]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 abs/2003.13435 (2020) - [i14]Daniel Gedon, Niklas Wahlström, Thomas B. Schön, Lennart Ljung:
Deep State Space Models for Nonlinear System Identification. CoRR abs/2003.14162 (2020)
2010 – 2019
- 2019
- [j95]Lennart Ljung:
On Convexification of System Identification Criteria. Autom. Remote. Control. 80(9): 1591-1606 (2019) - [j94]Valentin Pascu, Hugues Garnier, Lennart Ljung, Alexandre Janot:
Benchmark problems for continuous-time model identification: Design aspects, results and perspectives. Autom. 107: 511-517 (2019) - [i13]Johan Schoukens, Lennart Ljung:
Nonlinear System Identification: A User-Oriented Roadmap. CoRR abs/1902.00683 (2019) - 2018
- [j93]Chengpu Yu, Lennart Ljung, Michel Verhaegen:
Identification of structured state-space models. Autom. 90: 54-61 (2018) - [j92]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On asymptotic properties of hyperparameter estimators for kernel-based regularization methods. Autom. 94: 381-395 (2018) - [j91]Bo Wahlberg, Lennart Ljung:
Algorithms and Performance Analysis for Stochastic Wiener System Identification. IEEE Control. Syst. Lett. 2(3): 471-476 (2018) - [j90]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): 737-747 (2018) - [c64]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
Asymptotic Properties of Hyperparameter Estimators by Using Cross-Validations for Regularized System Identification. CDC 2018: 644-649 - [i12]Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves:
A state-space approach to sparse dynamic network reconstruction. CoRR abs/1811.08677 (2018) - 2017
- [j89]Qinghua Zhang, Lennart Ljung:
From structurally independent local LTI models to LPV model. Autom. 84: 232-235 (2017) - [j88]Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurélie C. Lozano, Gianluigi Pillonetto:
Generalized Kalman smoothing: Modeling and algorithms. Autom. 86: 63-86 (2017) - [j87]Francesca Paola Carli, Tianshi Chen, Lennart Ljung:
Maximum Entropy Kernels for System Identification. IEEE Trans. Autom. Control. 62(3): 1471-1477 (2017) - [c63]Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves:
On definition and inference of nonlinear Boolean dynamic networks. CDC 2017: 429-434 - [c62]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On the input design for kernel-based regularized LTI system identification: Power-constrained inputs. CDC 2017: 5262-5267 - [c61]Chengpu Yu, Jie Chen, Lennart Ljung, Michel Verhaegen:
Subspace identification of continuous-time models using generalized orthonormal bases. CDC 2017: 5280-5285 - [i11]Bi-Qiang Mu, Tianshi Chen, Lennart Ljung:
On Asymptotic Properties of Hyperparameter Estimators for Kernel-based Regularization Methods. CoRR abs/1707.00407 (2017) - 2016
- [j86]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: 34-38 (2016) - [j85]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: 137-149 (2016) - [c60]Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung:
Continuous-time DC kernel - A stable generalized first order spline kernel. CDC 2016: 4647-4652 - [c59]Valentin Pascu, Hugues Garnier, Lennart Ljung, Alexandre Janot:
Developments towards formalizing a benchmark for continuous-time model identification. CDC 2016: 7171-7176 - [i10]Zuogong Yue, Johan Thunberg, Lennart Ljung, Jorge M. Gonçalves:
Identification of Sparse Continuous-Time Linear Systems with Low Sampling Rate: Exploring Matrix Logarithms. CoRR abs/1605.08590 (2016) - [i9]Chengpu Yu, Lennart Ljung, Michel Verhaegen:
Gray Box Identification of State-Space Models Using Difference of Convex Programming. CoRR abs/1611.04359 (2016) - [i8]Zuogong Yue, Johan Thunberg, Wei Pan, Lennart Ljung, Jorge M. Gonçalves:
Linear Dynamic Network Reconstruction from Heterogeneous Datasets. CoRR abs/1612.01963 (2016) - [i7]Tianshi Chen, Lennart Ljung:
On kernel design for regularized LTI system identification. CoRR abs/1612.03542 (2016) - 2015
- [c58]Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan:
Identifying biochemical reaction networks from heterogeneous datasets. CDC 2015: 2525-2530 - [c57]Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung:
Spectral analysis of the DC kernel for regularized system identification. CDC 2015: 4017-4022 - [c56]Tianshi Chen, Lennart Ljung:
Regularized system identification using orthonormal basis functions. ECC 2015: 1291-1296 - [r6]Lennart Ljung:
System Identification: An Overview. Encyclopedia of Systems and Control 2015 - [i6]Tianshi Chen, Lennart Ljung:
Regularized system identification using orthonormal basis functions. CoRR abs/1504.02872 (2015) - [i5]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 abs/1504.03253 (2015) - [i4]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 abs/1507.00564 (2015) - [i3]Wei Pan, Ye Yuan, Lennart Ljung, Jorge M. Gonçalves, Guy-Bart Stan:
Identifying Biochemical Reaction Networks From Heterogeneous Datasets. CoRR abs/1509.05153 (2015) - 2014
- [j84]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): 657-682 (2014) - [j83]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable anomaly detection in large homogeneous populations. Autom. 50(5): 1459-1465 (2014) - [j82]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): 2933-2945 (2014) - [c55]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: 265-270 - [c54]Bo Wahlberg, James S. Welsh, Lennart Ljung:
Identification of wiener systems with process noise is a nonlinear errors-in-variables problem. CDC 2014: 3328-3333 - [c53]Lennart Ljung, Graham C. Goodwin, Juan C. Agüero:
Stochastic Embedding revisited: A modern interpretation. CDC 2014: 3340-3345 - [c52]Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto:
On the design of multiple kernels for nonparametric linear system identification. CDC 2014: 3346-3351 - [i2]Francesca Paola Carli, Tianshi Chen, Lennart Ljung:
Maximum Entropy Kernels for System Identification. CoRR abs/1411.5620 (2014) - 2013
- [j81]Adrian Wills, Thomas B. Schön, Lennart Ljung, Brett Ninness:
Identification of Hammerstein-Wiener models. Autom. 49(1): 70-81 (2013) - [j80]Henrik Ohlsson, Lennart Ljung:
Identification of switched linear regression models using sum-of-norms regularization. Autom. 49(4): 1045-1050 (2013) - [j79]Tianshi Chen, Lennart Ljung:
Implementation of algorithms for tuning parameters in regularized least squares problems in system identification. Autom. 49(7): 2213-2220 (2013) - [c51]Lennart Ljung, Tianshi Chen:
What Can Regularization Offer for Estimation of Dynamical Systems? ALCOSP 2013: 1-8 - [c50]Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung:
Kernel-Based Model Order Selection for Linear System Identification. ALCOSP 2013: 257-262 - [c49]Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung:
Rank-1 kernels for regularized system identification. CDC 2013: 5162-5167 - [c48]Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung:
Kernel-based model order selection for identification and prediction of linear dynamic systems. CDC 2013: 5174-5179 - [c47]Sina Khoshfetrat Pakazad, Henrik Ohlsson, Lennart Ljung:
Sparse control using sum-of-norms regularized model predictive control. CDC 2013: 5758-5763 - [c46]Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto:
Regularization strategies for nonparametric system identification. CDC 2013: 6013-6018 - [c45]Lennart Ljung, Tianshi Chen:
Convexity issues in system identification. ICCA 2013: 1-9 - [i1]Henrik Ohlsson, Tianshi Chen, Sina Khoshfetrat Pakazad, Lennart Ljung, S. Shankar Sastry:
Scalable Anomaly Detection in Large Homogenous Populations. CoRR abs/1309.5803 (2013) - 2012
- [j78]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
Smoothed state estimates under abrupt changes using sum-of-norms regularization. Autom. 48(4): 595-605 (2012) - [j77]Tianshi Chen, Henrik Ohlsson, Lennart Ljung:
On the estimation of transfer functions, regularizations and Gaussian processes - Revisited. Autom. 48(8): 1525-1535 (2012) - [c44]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: 1500-1505 - [c43]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: 5260-5265 - 2011
- [j76]Christian Lyzell, S. Torkel Glad, Martin Enqvist, Lennart Ljung:
Difference algebra and system identification. Autom. 47(9): 1896-1904 (2011) - [j75]Lennart Ljung, Håkan Hjalmarsson, Henrik Ohlsson:
Four Encounters with System Identification. Eur. J. Control 17(5-6): 449-471 (2011) - [j74]Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung:
Decentralized Particle Filter With Arbitrary State Decomposition. IEEE Trans. Signal Process. 59(2): 465-478 (2011) - [j73]Xiao-Li Hu, Thomas B. Schön, Lennart Ljung:
A General Convergence Result for Particle Filtering. IEEE Trans. Signal Process. 59(7): 3424-3429 (2011) - [c42]Henrik Ohlsson, Lennart Ljung:
A convex approach to subspace clustering. CDC/ECC 2011: 1467-1472 - [c41]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: 4308-4311 - [c40]Tianshi Chen, Henrik Ohlsson, Graham C. Goodwin, Lennart Ljung:
Kernel selection in linear system identification part II: A classical perspective. CDC/ECC 2011: 4326-4331 - 2010
- [j72]Lennart Ljung:
Perspectives on system identification. Annu. Rev. Control. 34(1): 1-12 (2010) - [j71]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): 1-10 (2010) - [j70]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): 11-18 (2010) - [j69]Lennart Ljung, Adrian Wills:
Issues in sampling and estimating continuous-time models with stochastic disturbances. Autom. 46(5): 925-931 (2010) - [j68]Henrik Ohlsson, Lennart Ljung, Stephen P. Boyd:
Segmentation of ARX-models using sum-of-norms regularization. Autom. 46(6): 1107-1111 (2010) - [c39]Odd Fredriksson, Lennart Ljung:
Critical Success Conditions for Enterprise Systems Change Projects. AMCIS 2010: 413 - [c38]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
Trajectory generation using sum-of-norms regularization. CDC 2010: 540-545 - [c37]Henrik Ohlsson, Fredrik Gustafsson, Lennart Ljung, Stephen P. Boyd:
State smoothing by sum-of-norms regularization. CDC 2010: 2880-2885 - [c36]Tianshi Chen, Thomas B. Schön, Henrik Ohlsson, Lennart Ljung:
Decentralization of particle filters using arbitrary state decomposition. CDC 2010: 7383-7388
2000 – 2009
- 2009
- [j67]Jonas Gillberg, Lennart Ljung:
Frequency-domain identification of continuous-time ARMA models from sampled data. Autom. 45(6): 1371-1378 (2009) - [j66]Svante Björklund, Lennart Ljung:
An improved phase method for time-delay estimation. Autom. 45(10): 2467-2470 (2009) - [j65]Jiandong Wang, Qinghua Zhang, Lennart Ljung:
Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation. Autom. 45(11): 2627-2633 (2009) - [c35]Jiandong Wang, Qinghua Zhang, Lennart Ljung:
Revisiting the Two-Stage Algorithm for Hammerstein system identification. CDC 2009: 3620-3625 - [c34]Henrik Ohlsson, Maite Bauwens, Lennart Ljung:
On manifolds, climate reconstruction and bivalve shells. CDC 2009: 5738-5743 - [c33]Odd Fredriksson, Lennart Ljung:
Modern Enterprise Systems as Enablers of Agile Development. ISD 2009: 41-53 - 2008
- [j64]Ingela Lind, Lennart Ljung:
Regressor and structure selection in NARX models using a structured ANOVA approach. Autom. 44(2): 383-395 (2008) - [j63]Anna Hagenblad, Lennart Ljung, Adrian Wills:
Maximum likelihood identification of Wiener models. Autom. 44(11): 2697-2705 (2008) - [j62]Xiao-Li Hu, Thomas B. Schön, Lennart Ljung:
A Basic Convergence Result for Particle Filtering. IEEE Trans. Signal Process. 56(4): 1337-1348 (2008) - [c32]Henrik Ohlsson, Jacob Roll, Anders Brun, Hans Knutsson, Mats T. Andersson, Lennart Ljung:
Direct Weight Optimization applied to discontinuous functions. CDC 2008: 117-122 - [c31]Henrik Ohlsson, Jacob Roll, Lennart Ljung:
Manifold-constrained regressors in system identification. CDC 2008: 1364-1369 - [c30]Christian Lyzell, Jacob Roll, Lennart Ljung:
The use of nonnegative garrote for order selection of ARX models. CDC 2008: 1974-1979 - 2007
- [j61]Markus Gerdin, Thomas B. Schön, S. Torkel Glad, Fredrik Gustafsson, Lennart Ljung:
On parameter and state estimation for linear differential-algebraic equations. Autom. 43(3): 416-425 (2007) - [c29]Xiao-Li Hu, Thomas B. Schön, Lennart Ljung:
A robust particle filter for state estimation - with convergence results. CDC 2007: 312-317 - 2006
- [c28]Jacob Roll, Ingela Lind, Lennart Ljung:
Connections between optimisation-based regressor selection and analysis of variance. CDC 2006: 4907-4914 - 2005
- [j60]Martin Enqvist, Lennart Ljung:
Linear approximations of nonlinear FIR systems for separable input processes. Autom. 41(3): 459-473 (2005) - [j59]Jacob Roll, Alexander V. Nazin, Lennart Ljung:
Nonlinear system identification via direct weight optimization. Autom. 41(3): 475-490 (2005) - [j58]Ingela Lind, Lennart Ljung:
Regressor selection with the analysis of variance method. Autom. 41(4): 693-700 (2005) - [j57]Si-Zhao Joe Qin, Weilu Lin, Lennart Ljung:
A novel subspace identification approach with enforced causal models. Autom. 41(12): 2043-2053 (2005) - [j56]Lennart Ljung, Antonio Vicino:
Guest Editorial: Special Issue on System Identification. IEEE Trans. Autom. Control. 50(10): 1473 (2005) - [c27]Markus Gerdin, S. Torkel Glad, Lennart Ljung:
Well-posedness of Filtering Problems for Stochastic Linear DAE Models. CDC/ECC 2005: 350-355 - [c26]Jacob Roll, Martin Enqvist, Lennart Ljung:
Consistent Nonparametric Estimation of NARX Systems Using Convex Optimization. CDC/ECC 2005: 3129-3134 - 2004
- [j55]Jacob Roll, Alberto Bemporad, Lennart Ljung:
Identification of piecewise affine systems via mixed-integer programming. Autom. 40(1): 37-50 (2004) - [c25]Lennart Ljung:
State of the art in linear system identification: time and frequency domain methods. ACC 2004: 650-660 - [c24]Lennart Ljung:
Integrated frequency-time domain tools for system identification. ACC 2004: 5594-5599 - [c23]Weilu Lin, S. Joe Qin, Lennart Ljung:
On consistency of closed-loop subspace identification with innovation estimation. CDC 2004: 2195-2200 - [c22]David Lindgren, Lennart Ljung:
Nonlinear dynamics isolated by delaunay triangulation criteria. CDC 2004: 3862-3867 - [c21]Jimmy Johansson, David Lindgren, Matthew Cooper, Lennart Ljung:
Interactive analysis of time-varying systems using volume graphics. CDC 2004: 5083-5087 - 2003
- [j54]Wolfgang Reinelt, Lennart Ljung:
Robust Control of Identified Models with Mixed Parametric and Non-Parametric Uncertainties. Eur. J. Control 9(4): 373-380 (2003) - [j53]Fredrik Tjärnström, Lennart Ljung:
Variance Properties of a Two-step ARX Estimation Procedure. Eur. J. Control 9(4): 422-430 (2003) - [c20]Svante Björklund, Lennart Ljung:
A review of time-delay estimation techniques. CDC 2003: 2502-2507 - [c19]Lennart Ljung:
Initialisation aspects for subspace and output-error identification methods. ECC 2003: 773-778 - [c18]Jacob Roll, Alexander V. Nazin, Lennart Ljung:
Local modelling with a priori known bounds using direct weight optimization. ECC 2003: 2138-2143 - 2002
- [j52]Dietmar Bauer, Lennart Ljung:
Some facts about the choice of the weighting matrices in Larimore type of subspace algorithms. Autom. 38(5): 763-773 (2002) - [j51]Wolfgang Reinelt, Andrea Garulli, Lennart Ljung:
Comparing different approaches to model error modeling in robust identification. Autom. 38(5): 787-803 (2002) - [j50]Alexander V. Nazin, Lennart Ljung:
Asymptotically optimal smoothing of averaged LMS estimates for regression parameter tracking. Autom. 38(8): 1287-1293 (2002) - [j49]Fredrik Tjärnström, Lennart Ljung:
L2 Model reduction and variance reduction. Autom. 38(9): 1517-1530 (2002) - [j48]Fredrik Tjärnström, Lennart Ljung:
Using the bootstrap to estimate the variance in the case of undermodeling. IEEE Trans. Autom. Control. 47(2): 395-398 (2002) - [c17]Jacob Roll, Alexander V. Nazin, Lennart Ljung:
A non-asymptotic approach to local modelling. CDC 2002: 638-643 - [c16]Martin Enqvist, Lennart Ljung:
Estimating nonlinear systems in a neighborhood of LTI-approximants. CDC 2002: 1005-1010 - [c15]David Lindgren, Lennart Ljung:
Clustered regression analysis. CDC 2002: 1838-1843 - [c14]Lennart Ljung:
Identification for control: simple process models. CDC 2002: 4652-4657 - 2001
- [j47]Michel Gevers, Lennart Ljung, Paul M. J. Van den Hof:
Asymptotic variance expressions for closed-loop identification. Autom. 37(5): 781-786 (2001) - [j46]Alexander S. Poznyak, Lennart Ljung:
On-line identification and adaptive trajectory tracking for nonlinear stochastic continuous time systems using differential neural networks. Autom. 37(8): 1257-1268 (2001) - [j45]Lennart Ljung:
Estimating Linear Time-invariant Models of Nonlinear Time-varying Systems. Eur. J. Control 7(2-3): 203-219 (2001) - [j44]Liang-Liang Xie, Lennart Ljung:
Asymptotic variance expressions for estimated frequency functions. IEEE Trans. Autom. Control. 46(12): 1887-1899 (2001) - [c13]Alberto Bemporad, Jacob Roll, Lennart Ljung:
Identification of hybrid systems via mixed-integer programming. CDC 2001: 786-792 - [c12]S. Torkel Glad, Anders Helmersson, Lennart Ljung:
Uncertain LTI-models for linear control design of non-linear systems. CDC 2001: 2692-2694 - [c11]Daishi Murano, Alex S. Poznyak, Lennart Ljung:
Robust high-gain DNN observer for nonlinear stochastic continuous time systems. CDC 2001: 3546-3551 - [c10]Fredrik Tjärnström, Lennart Ljung:
Variance properties of a two-step ARX estimation procedure. ECC 2001: 1840-1845 - [c9]Wolfgang Reinelt, Lennart Ljung:
Robust control of identified models with mixed parametric and non-parametric uncertainties. ECC 2001: 3564-3569 - 2000
- [j43]Peter Lindskog, Lennart Ljung:
Ensuring monotonic gain characteristics in estimated models by fuzzy model structures. Autom. 36(2): 311-317 (2000) - [j42]Urban Forssell, Lennart Ljung:
Some results on optimal experiment design. Autom. 36(5): 749-756 (2000) - [j41]Lennart Ljung, Otilia M. Boaghe, Stephen A. Billings:
Letters to the Editor on the paper 'Dynamic Wavelet and Equivalent Models' by O.M. Boaghe and S.A. Billings. Eur. J. Control 6(3): 295-296 (2000) - [j40]Urban Forssell, Lennart Ljung:
Identification of unstable systems using output error and Box-Jenkins model structures. IEEE Trans. Autom. Control. 45(1): 137-141 (2000) - [j39]Urban Forssell, Lennart Ljung:
A projection method for closed-loop identification. IEEE Trans. Autom. Control. 45(11): 2101-2106 (2000) - [c8]Ragnar Wallin, Alf J. Isaksson, Lennart Ljung:
An iterative method for identification of ARX models from incomplete data. CDC 2000: 203-208 - [c7]Liang-Liang Xie, Lennart Ljung:
Aspects on the interpretation of disturbances in system identification. CDC 2000: 668-673 - [c6]Anna Hagenblad, Lennart Ljung:
Maximum likelihood estimation of Wiener models. CDC 2000: 2417-2418
1990 – 1999
- 1999
- [j38]Urban Forssell, Lennart Ljung:
Closed-loop identification revisited. Autom. 35(7): 1215-1241 (1999) - [j37]Lennart Ljung, Urban Forssell:
An alternative motivation for the indirect approach to closed-loop identification. IEEE Trans. Autom. Control. 44(11): 2206-2209 (1999) - 1998
- [c5]Lennart Ljung:
Comments on model validation as set membership identification. Robustness in Identification and Control 1998: 7-16 - 1997
- [j36]Lei Guo, Lennart Ljung, Guan-Jun Wang:
Necessary and sufficient conditions for stability of LMS. IEEE Trans. Autom. Control. 42(6): 761-770 (1997) - [j35]Lennart Ljung, Lei Guo:
The role of model validation for assessing the size of the unmodeled dynamics. IEEE Trans. Autom. Control. 42(9): 1230-1239 (1997) - [j34]Fredrik Gustafsson, Svante Gunnarsson, Lennart Ljung:
Shaping frequency-dependent time resolution when estimating spectral properties with parametric methods. IEEE Trans. Signal Process. 45(4): 1025-1035 (1997) - 1996
- [j33]Tomas McKelvey, Hüseyin Akçay, Lennart Ljung:
Subspace-based identification of infinite-dimensional multivariable systems from frequency-response data. Autom. 32(6): 885-902 (1996) - [j32]Lennart Ljung:
Automatica prize paper awards 1996. Autom. 32(8): 1099 (1996) - [j31]Tomas McKelvey, Thomas Abrahamsson, Lennart Ljung:
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. 32(12): 1689-1700 (1996) - [j30]Lennart Ljung, Tomas McKelvey:
Subspace identification from closed loop data. Signal Process. 52(2): 209-215 (1996) - [j29]Tomas McKelvey, Hüseyin Akçay, Lennart Ljung:
Subspace-based multivariable system identification from frequency response data. IEEE Trans. Autom. Control. 41(7): 960-979 (1996) - [j28]Hüseyin Akçay, Håkan Hjalmarsson, Lennart Ljung:
On the choice of norms in system identification. IEEE Trans. Autom. Control. 41(9): 1367-1372 (1996) - [j27]Steve S. Niu, Lennart Ljung, Åke Björck:
Decomposition methods for solving least-squares parameter estimation. IEEE Trans. Signal Process. 44(11): 2847-2852 (1996) - 1995
- [j26]Jonas Sjöberg, Qinghua Zhang, Lennart Ljung, Albert Benveniste, Bernard Delyon, Pierre-Yves Glorennec, Håkan Hjalmarsson, Anatoli B. Juditsky:
Nonlinear black-box modeling in system identification: a unified overview. Autom. 31(12): 1691-1724 (1995) - [j25]Anatoli B. Juditsky, Håkan Hjalmarsson, Albert Benveniste, Bernard Delyon, Lennart Ljung, Jonas Sjöberg, Qinghua Zhang:
Nonlinear black-box models in system identification: Mathematical foundations. Autom. 31(12): 1725-1750 (1995) - [j24]Lei Guo, Lennart Ljung:
Exponential stability of general tracking algorithms. IEEE Trans. Autom. Control. 40(8): 1376-1387 (1995) - [j23]Lei Guo, Lennart Ljung:
Performance analysis of general tracking algorithms. IEEE Trans. Autom. Control. 40(8): 1388-1402 (1995) - 1994
- [j22]Lennart Ljung, S. Torkel Glad:
On global identifiability for arbitrary model parametrizations. Autom. 30(2): 265-276 (1994) - 1993
- [c4]Lennart Ljung:
Modelling of Industrial Systems. ISMIS 1993: 338-349 - 1992
- [r5]Lennart Ljung:
Identification: Basic Problem. Concise Encyclopedia of Modelling & Simulation 1992: 139-145 - [r4]Lennart Ljung:
Identification: Least-Squares Method. Concise Encyclopedia of Modelling & Simulation 1992: 168-175 - [r3]Lennart Ljung:
Identification: Maximum Likelihood Method. Concise Encyclopedia of Modelling & Simulation 1992: 175-178 - [r2]Lennart Ljung:
Identification: Recursive Methods. Concise Encyclopedia of Modelling & Simulation 1992: 193-198 - [r1]Lennart Ljung:
Identification: Time-Domain Methods. Concise Encyclopedia of Modelling & Simulation 1992: 198-203 - 1990
- [j21]Lennart Ljung, Svante Gunnarsson:
Adaptation and tracking in system identification - A survey. Autom. 26(1): 7-21 (1990)
1980 – 1989
- 1989
- [j20]Svante Gunnarsson, Lennart Ljung:
Frequency domain tracking characteristics of adaptive algorithms. IEEE Trans. Acoust. Speech Signal Process. 37(7): 1072-1089 (1989) - [c3]Svante Gunnarsson, Lennart Ljung:
Frequency domain description of the tracking capability and disturbance rejection trade-off in recursive identification. ICASSP 1989: 2077-2080 - [c2]Björn E. Ottersten, Lennart Ljung:
Asymptotic results for sensor array processing. ICASSP 1989: 2266-2269 - 1986
- [j19]Michel Gevers, Lennart Ljung:
Optimal experiment designs with respect to the intended model application. Autom. 22(5): 543-554 (1986) - 1985
- [j18]Stefan Ljung, Lennart Ljung:
Error propagation properties of recursive least-squares adaptation algorithms. Autom. 21(2): 157-167 (1985) - [j17]Eva Trulsson, Lennart Ljung:
Adaptive control based on explicit criterion minimization. Autom. 21(4): 385-399 (1985) - [j16]Lennart Ljung:
On the estimation of transfer functions. Autom. 21(6): 677-696 (1985) - [j15]Zhen-Dong Yuan, Lennart Ljung:
Unprejudiced optimal open loop input design for identification of transfer functions. Autom. 21(6): 697-708 (1985) - 1984
- [j14]Lennart Ljung, Brian D. O. Anderson:
Adaptive control, where are we? Autom. 20(5): 499-500 (1984) - [j13]Lennart Ljung:
Analysis of stochastic gradient algorithms for linear regression problems. IEEE Trans. Inf. Theory 30(2): 151-160 (1984) - 1982
- [j12]A. J. M. Van Overbeek, Lennart Ljung:
On-line structure selection for multivariable state-space models. Autom. 18(5): 529-543 (1982) - [c1]Lennart Ljung:
Recursive identification techniques. ICASSP 1982: 627-630 - 1981
- [j11]Lennart Ljung, Keith Glover:
Frequency domain versus time domain methods in system identification. Autom. 17(1): 71-86 (1981) - [j10]Lennart Ljung:
Analysis of a general recursive prediction error identification algorithm. Autom. 17(1): 89-99 (1981) - 1980
- [j9]Lennart Ljung:
Comments on 'non-convergence of the approximate maximum likelihood identification algorithm'. Autom. 16(2): 219-220 (1980)
1970 – 1979
- 1978
- [j8]Torsten Söderström, Lennart Ljung, Ivar Gustavsson:
A theoretical analysis of recursive identification methods. Autom. 14(3): 231-244 (1978) - [j7]David D. Falconer, Lennart Ljung:
Application of Fast Kalman Estimation to Adaptive Equalization. IEEE Trans. Commun. 26(10): 1439-1446 (1978) - [j6]Thomas Kailath, Bernard C. Levy, Lennart Ljung, Martin Morf:
Fast time-invariant implementations of Gaussian signal detectors. IEEE Trans. Inf. Theory 24(4): 469-477 (1978) - 1977
- [j5]Ivar Gustavsson, Lennart Ljung, Torsten Söderström:
Identification of processes in closed loop - identifiability and accuracy aspects. Autom. 13(1): 59-75 (1977) - [j4]Karl Johan Åström, Ulf Borisson, Lennart Ljung, Björn Wittenmark:
Theory and applications of self-tuning regulators. Autom. 13(5): 457-476 (1977) - 1976
- [j3]Lennart Ljung, Thomas Kailath:
A unified approach to smoothing formulas. Autom. 12(2): 147-157 (1976) - [j2]Lennart Ljung, Thomas Kailath:
Backwards Markovian models for second-order stochastic processes (Corresp.). IEEE Trans. Inf. Theory 22(4): 488-491 (1976) - 1972
- [j1]Lennart Ljung:
Comments on "A Stochastic Approximation Method". IEEE Trans. Syst. Man Cybern. 2(5): 680-681 (1972)
Coauthor Index
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