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ORCIDHåkan Hjalmarsson
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- affiliation: KTH Royal Institute of Technology, Stockholm, Sweden
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2020 – today
- 2024
[j93]Anubhab Ghosh
, Mohamed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson:
DeepBayes - An estimator for parameter estimation in stochastic nonlinear dynamical models. Autom. 159: 111327 (2024)- [j92]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Transformation of Regressors for Low Coherent Sparse System Identification. IEEE Trans. Autom. Control. 69(5): 2947-2962 (2024) - [i38]Kévin Colin, Håkan Hjalmarsson, Véronique Chotteau:
Data-driven Bayesian estimation of Monod kinetics. CoRR abs/2402.04727 (2024) - [i37]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Coherence-based Input Design for Sparse System Identification. CoRR abs/2402.06048 (2024) - [i36]Ying Wang, Mirko Pasquini, Kévin Colin, Håkan Hjalmarsson:
Optimal Exploration Strategy for Regret Minimization in Unconstrained Scalar Optimization Problems. CoRR abs/2403.15344 (2024) - [i35]Jiabao He, Ingvar M. Ziemann, Cristian R. Rojas, Håkan Hjalmarsson:
Finite Sample Analysis for a Class of Subspace Identification Methods. CoRR abs/2404.17331 (2024) - [i34]Le Wang, Ying Wang, Yu Qiu, Mian Li, Håkan Hjalmarsson:
Merging Parameter Estimation and Classification Using LASSO. CoRR abs/2405.03783 (2024) - [i33]Jiabao He, Cristian R. Rojas, Håkan Hjalmarsson:
Weighted Least-Squares PARSIM. CoRR abs/2405.04250 (2024) - [i32]Jiabao He, Cristian R. Rojas, Håkan Hjalmarsson:
A Weighted Least-Squares Method for Non-Asymptotic Identification of Markov Parameters from Multiple Trajectories. CoRR abs/2405.04258 (2024) - [i31]Paul M. J. Van den Hof, Shengling Shi, Stefanie J. M. Fonken, Karthik Raghavan Ramaswamy, Håkan Hjalmarsson, Arne G. Dankers:
Data-informativity conditions for structured linear systems with implications for dynamic networks. CoRR abs/2409.03883 (2024) - 2023
- [j91]Xavier Bombois, Kévin Colin, Paul M. J. Van den Hof, Håkan Hjalmarsson:
On the informativity of direct identification experiments in dynamical networks. Autom. 148: 110742 (2023) - [j90]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Application-Oriented Input Design With Low Coherence Constraint. IEEE Control. Syst. Lett. 7: 193-198 (2023) - [j89]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Coherence-Based Input Design for Nonlinear Systems. IEEE Control. Syst. Lett. 7: 2934-2939 (2023) - 2022
- [j88]Kévin Colin, Mina Ferizbegovic, Håkan Hjalmarsson:
Regret Minimization for Linear Quadratic Adaptive Controllers Using Fisher Feedback Exploration. IEEE Control. Syst. Lett. 6: 2870-2875 (2022) - [c104]Robert Bereza, Oscar Eriksson, Mohamed Rasheed-Hilmy Abdalmoaty, David Broman, Håkan Hjalmarsson:
Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances. CDC 2022: 6712-6717 - [c103]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Optimal Input Design for Sparse System Identification. ECC 2022: 1999-2004 - [i30]Anubhab Ghosh, Mohamed Rasheed Abdalmoaty, Saikat Chatterjee, Håkan Hjalmarsson:
DeepBayes - an estimator for parameter estimation in stochastic nonlinear dynamical models. CoRR abs/2205.02264 (2022) - [i29]Kévin Colin, Håkan Hjalmarsson, Xavier Bombois:
Optimal exploration strategies for finite horizon regret minimization in some adaptive control problems. CoRR abs/2211.07949 (2022) - 2021
- [j87]Xavier Bombois, Federico Morelli, Håkan Hjalmarsson, Laurent Bako, Kévin Colin:
Robust optimal identification experiment design for multisine excitation. Autom. 125: 109431 (2021) - [j86]Federico Morelli, Xavier Bombois, Håkan Hjalmarsson, Laurent Bako, Kévin Colin:
Least costly identification experiment for the identification of one module in a dynamic network. Autom. 133: 109855 (2021) - [j85]Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson:
An integrated approach for modeling and identification of perfusion bioreactors via basis flux modes. Comput. Chem. Eng. 149: 107238 (2021) - [c102]Rodrigo A. González, Cristian R. Rojas, Håkan Hjalmarsson:
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations. CDC 2021: 114-119 - [c101]Mina Ferizbegovic, Håkan Hjalmarsson, Per Mattsson, Thomas B. Schön:
Willems' fundamental lemma based on second-order moments. CDC 2021: 396-401 - [c100]Mohamed Rasheed-Hilmy Abdalmoaty, Oscar Eriksson, Robert Bereza, David Broman, Håkan Hjalmarsson:
Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances. CDC 2021: 2300-2305 - [c99]Javad Parsa, Håkan Hjalmarsson:
Optimal Input Design Through Infinity Norm Minimization Using Proximal Mapping. CDC 2021: 4442-4447 - [i28]Rodrigo A. González, Cristian R. Rojas, Håkan Hjalmarsson:
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations. CoRR abs/2103.10820 (2021) - 2020
- [j84]Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
Identification of stochastic nonlinear models using optimal estimating functions. Autom. 119: 109055 (2020) - [j83]Mingliang Wang, Riccardo Sven Risuleo, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson:
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes. Comput. Chem. Eng. 133 (2020) - [j82]Mina Ferizbegovic, Jack Umenberger, Håkan Hjalmarsson, Thomas B. Schön:
Learning Robust LQ-Controllers Using Application Oriented Exploration. IEEE Control. Syst. Lett. 4(1): 19-24 (2020) - [j81]Mohamed Rasheed-Hilmy Abdalmoaty, Håkan Hjalmarsson, Bo Wahlberg:
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes]. IEEE Signal Process. Mag. 37(6): 195-199 (2020) - [j80]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach. IEEE Trans. Autom. Control. 65(7): 2801-2813 (2020) - [c98]Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations. ACC 2020: 1501-1506 - [c97]Mingliang Wang, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson:
Unscented Bayes Methods for Hierarchical Gaussian Processes. ANZCC 2020: 137-142 - [c96]Mingliang Wang, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson:
Estimation of Heteroscedastic Multilinear Systems. CDC 2020: 2875-2880 - [c95]Javad Parsa, Håkan Hjalmarsson:
On Reducing the Coherence in Sparse System Identification. CDC 2020: 4224-4230
2010 – 2019
- 2019
- [j79]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting. Autom. 102: 45-57 (2019) - [j78]Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
Linear prediction error methods for stochastic nonlinear models. Autom. 105: 49-63 (2019) - [j77]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Modeling and identification of uncertain-input systems. Autom. 105: 130-141 (2019) - [j76]Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson:
Bayesian nonparametric identification of Wiener systems. Autom. 108 (2019) - [j75]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Parametric Identification Using Weighted Null-Space Fitting. IEEE Trans. Autom. Control. 64(7): 2798-2813 (2019) - [c94]Mingliang Wang, Elling W. Jacobsen, Véronique Chotteau, Håkan Hjalmarsson:
A Multi-Step Least-Squares Method for Nonlinear Rational Models. ACC 2019: 4509-4514 - [c93]Diogo Rodrigues, Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations. CDC 2019: 3184-3189 - [c92]Federico Morelli, Xavier Bombois, Håkan Hjalmarsson, Laurent Bako, Kévin Colin:
Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems. ECC 2019: 363-368 - [c91]Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson:
Robust exploration in linear quadratic reinforcement learning. NeurIPS 2019: 15310-15320 - [i27]Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, Håkan Hjalmarsson:
Robust exploration in linear quadratic reinforcement learning. CoRR abs/1906.01584 (2019) - [i26]Arun Venkitaraman, Håkan Hjalmarsson, Bo Wahlberg:
Learning sparse linear dynamic networks in a hyper-parameter free setting. CoRR abs/1911.11553 (2019) - 2018
- [j74]Xavier Bombois, Anton Korniienko, Håkan Hjalmarsson, Gérard Scorletti:
Optimal identification experiment design for the interconnection of locally controlled systems. Autom. 89: 169-179 (2018) - [j73]Niklas Everitt, Miguel Galrinho, Håkan Hjalmarsson:
Open-loop asymptotically efficient model reduction with the Steiglitz-McBride method. Autom. 89: 221-234 (2018) - [j72]Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson:
An empirical Bayes approach to identification of modules in dynamic networks. Autom. 91: 144-151 (2018) - [j71]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson:
Analysis of averages over distributions of Markov processes. Autom. 98: 354-357 (2018) - [j70]Riccardo Sven Risuleo, Håkan Hjalmarsson:
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models. IEEE Control. Syst. Lett. 2(4): 647-652 (2018) - [c90]Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
Consistent Estimators of Stochastic MIMO Wiener Models Based on Suboptimal Predictors. CDC 2018: 3842-3847 - [c89]Riccardo Sven Risuleo, Fredrik Lindsten, Håkan Hjalmarsson:
Semi-Parametric Kernel-Based Identification of Wiener Systems. CDC 2018: 3874-3879 - [c88]Mina Ferizbegovic, Miguel Galrinho, Håkan Hjalmarsson:
Weighted Null-Space Fitting for Cascade Networks with Arbitrary Location of Sensors and Excitation Signals. CDC 2018: 4707-4712 - [i25]Miguel Galrinho, Riccardo Prota, Mina Ferizbegovic, Håkan Hjalmarsson:
Weighted Null-Space Fitting for Identification of Cascade Networks. CoRR abs/1803.07365 (2018) - [i24]Anton Korniienko, Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti:
Hierarchical Robust Analysis for Identified Systems in Network. CoRR abs/1806.11422 (2018) - 2017
- [j69]Miguel Galrinho, Niklas Everitt, Håkan Hjalmarsson:
ARX modeling of unstable linear systems. Autom. 75: 167-171 (2017) - [j68]Diego Eckhard, Alexandre S. Bazanella, Cristian R. Rojas, Håkan Hjalmarsson:
Cost function shaping of the output error criterion. Autom. 76: 53-60 (2017) - [j67]Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson:
Variance analysis of linear SIMO models with spatially correlated noise. Autom. 77: 68-81 (2017) - [j66]Jonas Mårtensson, Niklas Everitt, Håkan Hjalmarsson:
Covariance analysis in SISO linear systems identification. Autom. 77: 82-92 (2017) - [j65]Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto:
A new kernel-based approach to system identification with quantized output data. Autom. 85: 145-152 (2017) - [j64]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A nonparametric kernel-based approach to Hammerstein system identification. Autom. 85: 234-247 (2017) - [j63]Mengyuan Fang, Yucai Zhu, Håkan Hjalmarsson:
On anti-aliasing filtering and over-sampling scheme in system identification. Comput. Chem. Eng. 106: 572-581 (2017) - [j62]Jeremy Stoddard, James S. Welsh, Håkan Hjalmarsson:
EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation. IEEE Control. Syst. Lett. 1(2): 388-393 (2017) - [j61]László Gerencsér, Håkan Hjalmarsson, Lirong Huang:
Adaptive Input Design for LTI Systems. IEEE Trans. Autom. Control. 62(5): 2390-2405 (2017) - [c87]Mengyuan Fang, Miguel Galrinho, Håkan Hjalmarsson:
Recursive identification based on weighted null-space fitting. CDC 2017: 4644-4649 - [i23]Niklas Everitt, Giulio Bottegal, Håkan Hjalmarsson:
An empirical Bayes approach to identification of modules in dynamic networks. CoRR abs/1705.01337 (2017) - [i22]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Parametric Identification Using Weighted Null-Space Fitting. CoRR abs/1708.03946 (2017) - [i21]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification. CoRR abs/1708.03947 (2017) - [i20]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Modeling and identification of uncertain-input systems. CoRR abs/1709.03421 (2017) - 2016
- [j60]Leyla Özkan, Xavier Bombois, Jobert H. A. Ludlage, Cristian R. Rojas, Håkan Hjalmarsson, Per Erik Modén, Michael Lundh, Ton Backx, Paul M. J. Van den Hof:
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives. Annu. Rev. Control. 42: 126-142 (2016) - [j59]Yucai Zhu, Håkan Hjalmarsson:
The Box-Jenkins Steiglitz-McBride algorithm. Autom. 65: 170-182 (2016) - [j58]Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto:
Robust EM kernel-based methods for linear system identification. Autom. 67: 114-126 (2016) - [j57]Per Hägg, Johan Schoukens, Michel Gevers, Håkan Hjalmarsson:
The transient impulse response modeling method for non-parametric system identification. Autom. 68: 314-328 (2016) - [j56]Christian A. Larsson, Afrooz Ebadat, Cristian R. Rojas, Xavier Bombois, Håkan Hjalmarsson:
An application-oriented approach to dual control with excitation for closed-loop identification. Eur. J. Control 29: 1-16 (2016) - [c86]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
A weighted least squares method for estimation of unstable systems. CDC 2016: 341-346 - [c85]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Kernel-based system identification from noisy and incomplete input-output data. CDC 2016: 2061-2066 - [c84]Mohamed Rasheed Abdalmoaty, Håkan Hjalmarsson:
A simulated maximum likelihood method for estimation of stochastic Wiener systems. CDC 2016: 3060-3065 - [c83]Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson:
Identification of modules in dynamic networks: An empirical Bayes approach. CDC 2016: 4612-4617 - [c82]Kezhi Li, Cristian R. Rojas, Tao Yang, Håkan Hjalmarsson, Karl Henrik Johansson, Shuang Cong:
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit. ICASSP 2016: 4608-4612 - [i19]Miguel Galrinho, Niklas Everitt, Håkan Hjalmarsson:
ARX modeling of unstable Box-Jenkins models. CoRR abs/1603.04184 (2016) - [i18]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
Kernel-based system identification from noisy and incomplete input-output data. CoRR abs/1605.03733 (2016) - [i17]Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto:
A new kernel-based approach to system identification with quantized output data. CoRR abs/1610.00470 (2016) - [i16]Niklas Everitt, Miguel Galrinho, Håkan Hjalmarsson:
Optimal model order reduction with the Steiglitz-McBride method for open-loop data. CoRR abs/1610.08534 (2016) - 2015
- [j55]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson:
A graph theoretical approach to input design for identification of nonlinear dynamical models. Autom. 51: 233-242 (2015) - [j54]Ali Mesbah, Xavier Bombois, Marco Forgione, Håkan Hjalmarsson, Paul M. J. Van den Hof:
Least costly closed-loop performance diagnosis and plant re-identification. Int. J. Control 88(11): 2264-2276 (2015) - [j53]Lirong Huang, Håkan Hjalmarsson, Heinz Koeppl:
Almost sure stability and stabilization of discrete-time stochastic systems. Syst. Control. Lett. 82: 26-32 (2015) - [j52]Lirong Huang, Håkan Hjalmarsson:
A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems. IEEE Trans. Autom. Control. 60(8): 2242-2247 (2015) - [j51]Corentin Briat, Emre Altug Yavuz, Håkan Hjalmarsson, Karl Henrik Johansson, Ulf T. Jönsson, Gunnar Karlsson, Henrik Sandberg:
The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control. IEEE/ACM Trans. Netw. 23(3): 851-865 (2015) - [c81]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A new kernel-based approach to overparameterized Hammerstein system identification. CDC 2015: 115-120 - [c80]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
On the estimation of initial conditions in kernel-based system identification. CDC 2015: 1120-1125 - [c79]Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson:
On the variance analysis of identified linear MIMO models. CDC 2015: 1447-1452 - [c78]Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, Gianluigi Pillonetto:
Outlier robust kernel-based system identification using ℓ1-Laplace techniques. CDC 2015: 2109-2114 - [c77]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
On estimating initial conditions in unstructured models. CDC 2015: 2725-2730 - [c76]Afrooz Ebadat, Giulio Bottegal, Marco Molinari, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson:
Multi-room occupancy estimation through adaptive gray-box models. CDC 2015: 3705-3711 - [c75]Afrooz Ebadat, Giulio Bottegal, Damiano Varagnolo, Bo Wahlberg, Håkan Hjalmarsson, Karl Henrik Johansson:
Blind identification strategies for room occupancy estimation. ECC 2015: 1315-1320 - [r1]Håkan Hjalmarsson:
Experiment Design and Identification for Control. Encyclopedia of Systems and Control 2015 - [i15]Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson:
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise. CoRR abs/1501.03077 (2015) - [i14]Riccardo Sven Risuleo, Marco Molinari, Giulio Bottegal, Håkan Hjalmarsson, Karl Henrik Johansson:
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics. CoRR abs/1504.02843 (2015) - [i13]Giulio Bottegal, Gianluigi Pillonetto, Håkan Hjalmarsson:
Bayesian kernel-based system identification with quantized output data. CoRR abs/1504.06877 (2015) - [i12]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A new kernel-based approach for overparameterized Hammerstein system identification. CoRR abs/1504.08190 (2015) - [i11]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
On the estimation of initial conditions in kernel-based system identification. CoRR abs/1504.08196 (2015) - 2014
- [j50]Pouria Ramazi, Håkan Hjalmarsson, Jonas Mårtensson:
Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models. Autom. 50(6): 1675-1683 (2014) - [j49]Cristian R. Rojas, Roland Tóth, Håkan Hjalmarsson:
Sparse Estimation of Polynomial and Rational Dynamical Models. IEEE Trans. Autom. Control. 59(11): 2962-2977 (2014) - [j48]Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson:
Iterative Data-Driven ℋ∞ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation. IEEE Trans. Control. Syst. Technol. 22(6): 2247-2260 (2014) - [c74]Giulio Bottegal, Håkan Hjalmarsson:
On the variance of identified SIMO systems with spatially correlated output noise. CDC 2014: 2636-2641 - [c73]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
A weighted least-squares method for parameter estimation in structured models. CDC 2014: 3322-3327 - [c72]Afrooz Ebadat, Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson, Bo Wahlberg:
Applications oriented input design for closed-loop system identification: a graph-theory approach. CDC 2014: 4125-4130 - [c71]Marco Forgione, Xavier Bombois, Paul M. J. Van den Hof, Håkan Hjalmarsson:
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation. ECC 2014: 25-30 - [c70]Afrooz Ebadat, Mariette Annergren, Christian A. Larsson, Cristian R. Rojas, Bo Wahlberg, Håkan Hjalmarsson, Mats Molander, Johan Sjöberg:
Application set approximation in optimal input design for model predictive control. ECC 2014: 744-749 - [c69]Håkan Hjalmarsson, Cristian R. Rojas:
Model structure selection - An update. ECC 2014: 2382-2385 - [c68]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz matrices-based sensing for rank minimization. EUSIPCO 2014: 1836-1840 - [i10]Afrooz Ebadat, Bo Wahlberg, Håkan Hjalmarsson, Cristian R. Rojas, Per Hägg, Christian A. Larsson:
Applications Oriented Input Design in Time-Domain Through Cyclic Methods. CoRR abs/1403.6953 (2014) - [i9]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization. CoRR abs/1406.0187 (2014) - [i8]Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto:
Robust EM kernel-based methods for linear system identification. CoRR abs/1411.5915 (2014) - [i7]Riccardo Sven Risuleo, Giulio Bottegal, Håkan Hjalmarsson:
A kernel-based approach to Hammerstein system identification. CoRR abs/1412.4055 (2014) - [i6]Giulio Bottegal, Riccardo Sven Risuleo, Håkan Hjalmarsson:
Blind system identification using kernel-based methods. CoRR abs/1412.4056 (2014) - 2013
- [j47]Diego Eckhard, Alexandre S. Bazanella, Cristian R. Rojas, Håkan Hjalmarsson:
Input design as a tool to improve the convergence of PEM. Autom. 49(11): 3282-3291 (2013) - [j46]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson, Emil Björnson, Xavier Bombois, Nafiseh Shariati, Magnus Jansson, Håkan Hjalmarsson:
Training sequence design for MIMO channels: an application-oriented approach. EURASIP J. Wirel. Commun. Netw. 2013: 245 (2013) - [j45]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson, Håkan Hjalmarsson:
Frequency smoothing gains in preamble-based channel estimation for multicarrier systems. Signal Process. 93(9): 2777-2782 (2013) - [j44]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson:
A Note on the SPICE Method. IEEE Trans. Signal Process. 61(18): 4545-4551 (2013) - [c67]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson:
Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems. ALCOSP 2013: 74-79 - [c66]Dimitrios Katselis, Carlo Fischione, Håkan Hjalmarsson:
Efficient OOK/DS-CDMA detection threshold selection. ACC 2013: 3523-3528 - [c65]Christian A. Larsson, Per Hagg, Håkan Hjalmarsson:
Generation of excitation signals with prescribed autocorrelation for input and output constrained systems. ACC 2013: 3918-3923 - [c64]Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson:
Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system. ACC 2013: 6703-6708 - [c63]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson:
Optimal input design for non-linear dynamic systems: A graph theory approach. CDC 2013: 5740-5745 - [c62]Niklas Everitt, Cristian R. Rojas, Håkan Hjalmarsson:
A geometric approach to variance analysis of cascaded systems. CDC 2013: 6496-6501 - [c61]Per Hagg, Christian A. Larsson, Håkan Hjalmarsson:
Robust and adaptive excitation signal generation for input and output constrained systems. ECC 2013: 1416-1421 - [c60]Cristian R. Rojas, Bo Wahlberg, Håkan Hjalmarsson:
A sparse estimation technique for general model structures. ECC 2013: 2410-2414 - [c59]Christian A. Larsson, Mariette Annergren, Håkan Hjalmarsson, Cristian R. Rojas, Xavier Bombois, Ali Mesbah, Per Erik Modén:
Model predictive control with integrated experiment design for output error systems. ECC 2013: 3790-3795 - [c58]Dimitrios Katselis, Carlo Fischione, Håkan Hjalmarsson:
OOK/DS-CDMA bit error probability over Rayleigh fading channels. ICC 2013: 5619-5624 - [i5]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson, Emil Björnson, Xavier Bombois, Nafiseh Shariati, Magnus Jansson, Håkan Hjalmarsson:
Training Sequence Design for MIMO Channels: An Application-Oriented Approach. CoRR abs/1301.3708 (2013) - [i4]Corentin Briat, Emre A. Yavuz, Håkan Hjalmarsson, Karl Henrik Johansson, Ulf T. Jönsson, Gunnar Karlsson, Henrik Sandberg:
The conservation of information, towards an axiomatized modular modeling approach to congestion control. CoRR abs/1303.3796 (2013) - [i3]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson, Mats Bengtsson, Mikael Skoglund:
On the Design of Channel Estimators for given Signal Estimators and Detectors. CoRR abs/1303.4289 (2013) - [i2]Lirong Huang, Håkan Hjalmarsson, László Gerencsér:
Adaptive experiment design for LTI systems. CoRR abs/1310.3973 (2013) - 2012
- [j43]Juan C. Agüero, Cristian R. Rojas, Håkan Hjalmarsson, Graham C. Goodwin:
Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation. Autom. 48(4): 632-637 (2012) - [j42]Håkan Hjalmarsson, Jonas Mårtensson:
Finite model order accuracy in Hammerstein model estimation. Autom. 48(10): 2640-2646 (2012) - [j41]Cristian R. Rojas, Tom Oomen, Håkan Hjalmarsson, Bo Wahlberg:
Analyzing iterations in identification with application to nonparametric H∞-norm estimation. Autom. 48(11): 2776-2790 (2012) - [j40]Lirong Huang, Håkan Hjalmarsson:
Recursive estimators with Markovian jumps. Syst. Control. Lett. 61(10): 1009-1016 (2012) - [j39]Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica:
On the Performance of Optimal Input Signals for Frequency Response Estimation. IEEE Trans. Autom. Control. 57(3): 766-771 (2012) - [c57]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson, Mats Bengtsson:
A Chernoff relaxation on the problem of application-oriented finite sample experiment design. CDC 2012: 202-207 - [c56]Lirong Huang, Håkan Hjalmarsson, László Gerencsér:
Adaptive experiment design for ARMAX systems? CDC 2012: 907-912 - [c55]Ali Mesbah, Xavier Bombois, Marco Forgione, Jobert H. A. Ludlage, Per Erik Modén, Håkan Hjalmarsson, Paul M. J. Van den Hof:
A unified experiment design framework for detection and identification in closed-loop performance diagnosis. CDC 2012: 2152-2157 - [c54]Roland Tóth, Håkan Hjalmarsson, Cristian R. Rojas:
Order and structural dependence selection of LPV-ARX models revisited. CDC 2012: 6271-6276 - [c53]Nima N. Moghadam, Per Zetterberg, Peter Händel, Håkan Hjalmarsson:
Correlation of distortion noise between the branches of MIMO transmit antennas. PIMRC 2012: 2079-2084 - [c52]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson, Mats Bengtsson:
A Chernoff convexification for chance constrained MIMO training sequence design. SPAWC 2012: 40-44 - [i1]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson:
A Note on the SPICE Method. CoRR abs/1209.4887 (2012) - 2011
- [j38]Jonas Mårtensson, Cristian R. Rojas, Håkan Hjalmarsson:
Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller. Autom. 47(3): 578-583 (2011) - [j37]Cristian R. Rojas, Håkan Hjalmarsson, László Gerencsér, Jonas Mårtensson:
An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems. Autom. 47(7): 1388-1398 (2011) - [j36]Cristian R. Rojas, Märta Barenthin, James S. Welsh, Håkan Hjalmarsson:
The cost of complexity in system identification: The Output Error case. Autom. 47(9): 1938-1948 (2011) - [j35]Jakob Kjøbsted Huusom, Håkan Hjalmarsson, Niels Kjølstad Poulsen, Sten Bay Jørgensen:
A design algorithm using external perturbation to improve Iterative Feedback Tuning convergence. Autom. 47(12): 2665-2670 (2011) - [j34]Håkan Hjalmarsson, Jonas Mårtensson, Cristian R. Rojas, Torsten Söderström:
On the accuracy in errors-in-variables identification compared to prediction-error identification. Autom. 47(12): 2704-2712 (2011) - [j33]Lennart Ljung, Håkan Hjalmarsson, Henrik Ohlsson:
Four Encounters with System Identification. Eur. J. Control 17(5-6): 449-471 (2011) - [j32]Jonas Mårtensson, Håkan Hjalmarsson:
How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification. IEEE Trans. Autom. Control. 56(1): 100-112 (2011) - [j31]Håkan Hjalmarsson, Jonas Mårtensson:
A Geometric Approach to Variance Analysis in System Identification. IEEE Trans. Autom. Control. 56(5): 983-997 (2011) - [c51]Christian A. Larsson, Mariette Annergren, Håkan Hjalmarsson:
On optimal input design in system identification for model predictive control. CDC/ECC 2011: 805-810 - [c50]Håkan Hjalmarsson, Freja Egebrand:
Input design using cylindrical algebraic decomposition. CDC/ECC 2011: 811-817 - [c49]Per Hagg, Håkan Hjalmarsson, Bo Wahlberg:
A least squares approach to direct frequency response estimation. CDC/ECC 2011: 2160-2165 - [c48]K. Erik J. Olofsson, Cristian R. Rojas, Håkan Hjalmarsson, Per Brunsell, James R. Drake:
Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation. CDC/ECC 2011: 2614-2619 - [c47]Cristian R. Rojas, Håkan Hjalmarsson:
Sparse estimation based on a validation criterion. CDC/ECC 2011: 2825-2830 - [c46]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson, Roland Hildebrand, Mats Bengtsson:
Chance constrained input design. CDC/ECC 2011: 2957-2962 - [c45]Corentin Briat, Håkan Hjalmarsson, Karl Henrik Johansson, Ulf T. Jönsson, Gunnar Karlsson, Henrik Sandberg, Emre A. Yavuz:
An axiomatic fluid-flow model for congestion control analysis. CDC/ECC 2011: 3122-3129 - [c44]Lirong Huang, Håkan Hjalmarsson, Cristian R. Rojas:
On consistent estimation of farthest NMP zeros of stable LTI systems. CDC/ECC 2011: 5094-5099 - [c43]Dimitrios Katselis, Mats Bengtsson, Cristian R. Rojas, Håkan Hjalmarsson, Eleftherios Kofidis:
On preamble-based channel estimation in OFDM/OQAM systems. EUSIPCO 2011: 1618-1622 - 2010
- [j30]Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti:
Identification for robust H2 deconvolution filtering. Autom. 46(3): 577-584 (2010) - [j29]Bo Wahlberg, Märta Barenthin Syberg, Håkan Hjalmarsson:
Non-parametric methods for L2-gain estimation using iterative experiments. Autom. 46(8): 1376-1381 (2010) - [j28]Cristian R. Rojas, Märta Barenthin, James S. Welsh, Håkan Hjalmarsson:
The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems. IEEE Trans. Autom. Control. 55(10): 2298-2309 (2010) - [j27]Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, Karl Henrik Johansson, Håkan Hjalmarsson, Steven H. Low:
Queue Dynamics With Window Flow Control. IEEE/ACM Trans. Netw. 18(5): 1422-1435 (2010) - [c42]Bo Wahlberg, Håkan Hjalmarsson, Petre Stoica:
On optimal input signal design for frequency response estimation. CDC 2010: 302-307 - [c41]Corentin Briat, Håkan Hjalmarsson, Karl Henrik Johansson, Ulf T. Jönsson, Gunnar Karlsson, Henrik Sandberg:
Nonlinear state-dependent delay modeling and stability analysis of internet congestion control. CDC 2010: 1484-1491 - [c40]K. Erik J. Olofsson, Cristian R. Rojas, Håkan Hjalmarsson, Per Brunsell, James R. Drake:
Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion. CDC 2010: 2954-2959 - [c39]Bo Wahlberg, Håkan Hjalmarsson, Mariette Annergren:
On optimal input design in system identification for control. CDC 2010: 5548-5553 - [c38]Christian A. Larsson, Håkan Hjalmarsson, Cristian R. Rojas:
Identification of nonlinear systems using misspecified predictors. CDC 2010: 7214-7219 - [c37]Christian A. Larsson, Håkan Hjalmarsson, Cristian R. Rojas:
On optimal input design for nonlinear FIR-type systems. CDC 2010: 7220-7225
2000 – 2009
- 2009
- [j26]László Gerencsér, Håkan Hjalmarsson, Jonas Mårtensson:
Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design. Autom. 45(3): 623-633 (2009) - [j25]Bo Wahlberg, Håkan Hjalmarsson, Jonas Mårtensson:
Variance results for identification of cascade systems. Autom. 45(6): 1443-1448 (2009) - [j24]Jonas Mårtensson, Håkan Hjalmarsson:
Variance-error quantification for identified poles and zeros. Autom. 45(11): 2512-2525 (2009) - [j23]Håkan Hjalmarsson:
System Identification of Complex and Structured Systems. Eur. J. Control 15(3-4): 275-310 (2009) - [j22]Krister Jacobsson, Lachlan L. H. Andrew, Ao Tang, Steven H. Low, Håkan Hjalmarsson:
An Improved Link Model for Window Flow Control and Its Application to FAST TCP. IEEE Trans. Autom. Control. 54(3): 551-564 (2009) - [c36]Cristian R. Rojas, Håkan Hjalmarsson:
Input design for asymptotic robust H2-filtering. CDC 2009: 476-481 - [c35]Cristian R. Rojas, Håkan Hjalmarsson, Roland Hildebrand:
MIMO experiment design based on asymptotic model order theory. CDC 2009: 488-493 - [c34]K. Erik J. Olofsson, Håkan Hjalmarsson, Cristian R. Rojas, Per Brunsell, James R. Drake:
Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes. CDC 2009: 1348-1353 - [c33]Henrik Sandberg, Håkan Hjalmarsson, Ulf T. Jönsson, Gunnar Karlsson, Karl Henrik Johansson:
On performance limitations of congestion control. CDC 2009: 5869-5876 - [c32]Jonas Mårtensson, Cristian R. Rojas, Håkan Hjalmarsson:
Finite model order optimal input design for minimum variance control. ECC 2009: 454-459 - [c31]Håkan Hjalmarsson:
System identification of complex and structured systems. ECC 2009: 3424-3452 - 2008
- [j21]Märta Barenthin, Håkan Hjalmarsson:
Identification and control: Joint input design and I state feedback with ellipsoidal parametric uncertainty via LMIs. Autom. 44(2): 543-551 (2008) - [j20]Håkan Hjalmarsson, Henrik Jansson:
Closed loop experiment design for linear time invariant dynamical systems via LMIs. Autom. 44(3): 623-636 (2008) - [j19]Märta Barenthin, Xavier Bombois, Håkan Hjalmarsson, Gérard Scorletti:
Identification for control of multivariable systems: Controller validation and experiment design via LMIs. Autom. 44(12): 3070-3078 (2008) - [c30]Bo Wahlberg, Håkan Hjalmarsson, Jonas Mårtensson:
Variance analysis for identification of cascade systems. CDC 2008: 131-136 - [c29]Jakob Kjøbsted Huusom, Håkan Hjalmarsson, Niels Kjølstad Poulsen, Sten Bay Jørgensen:
Improving convergence of Iterative Feedback Tuning using optimal external perturbations. CDC 2008: 2618-2623 - [c28]Ao Tang, Lachlan L. H. Andrew, Krister Jacobsson, Karl Henrik Johansson, Steven H. Low, Håkan Hjalmarsson:
Window Flow Control: Macroscopic Properties from Microscopic Factors. INFOCOM 2008: 91-95 - [c27]Krister Jacobsson, Lachlan L. H. Andrew, Ao Tang, Karl Henrik Johansson, Håkan Hjalmarsson, Steven H. Low:
ACK-Clocking Dynamics: Modelling the Interaction between Windows and the Network. INFOCOM 2008: 2146-2152 - 2007
- [c26]Håkan Hjalmarsson, Jonas Mårtensson:
Optimal Input Design for Identification of Non-linear Systems: Learning From the Linear Case. ACC 2007: 1572-1576 - [c25]Jonas Mårtensson, Håkan Hjalmarsson:
A geometric approach to variance analysis in system identification: Linear Time-Invariant Systems. CDC 2007: 4269-4274 - [c24]Håkan Hjalmarsson, Jonas Mårtensson:
A geometric approach to variance analysis in system identification: Theory and nonlinear systems. CDC 2007: 5092-5097 - 2006
- [j18]Håkan Hjalmarsson, Brett Ninness:
Least-squares estimation of a class of frequency functions: A finite sample variance expression. Autom. 42(4): 589-600 (2006) - [j17]Karl-Erik Årzén, Anders Robertsson, Dan Henriksson, Mikael Johansson, Håkan Hjalmarsson, Karl Henrik Johansson:
Conclusions of the ARTIST2 roadmap on control of computing systems. SIGBED Rev. 3(3): 11-20 (2006) - [c23]Krister Jacobsson, Håkan Hjalmarsson, Niels Moller:
ACK-clock Dynamics in Network Congestion Control - An Inner Feedback Loop with Implications on Inelastic Flow Impact. CDC 2006: 1882-1887 - 2005
- [j16]Håkan Hjalmarsson:
From experiment design to closed-loop control. Autom. 41(3): 393-438 (2005) - [j15]Brett Ninness, Håkan Hjalmarsson:
On the frequency domain accuracy of closed-loop estimates. Autom. 41(7): 1109-1122 (2005) - [j14]Brett Ninness, Håkan Hjalmarsson:
Analysis of the variability of joint input-output estimation methods. Autom. 41(7): 1123-1132 (2005) - [j13]Henrik Jansson, Håkan Hjalmarsson:
Input design via LMIs admitting frequency-wise model specifications in confidence regions. IEEE Trans. Autom. Control. 50(10): 1534-1549 (2005) - [c22]Jonas Mårtensson, Håkan Hjalmarsson:
Exact quantification of the variance of estimated zeros. CDC/ECC 2005: 4275-4280 - [c21]László Gerencsér, Håkan Hjalmarsson:
Adaptive input design in system identification. CDC/ECC 2005: 4988-4993 - [c20]Märta Barenthin, Håkan Hjalmarsson:
Identification and Control: Joint Input Design and H∞ State Feedback with Ellipsoidal Parametric Uncertainty. CDC/ECC 2005: 6454-6459 - [c19]Krister Jacobsson, Håkan Hjalmarsson:
Local Analysis of Structural Limitations of Network Congestion Control. CDC/ECC 2005: 6744-6749 - 2004
- [j12]Brett Ninness, Håkan Hjalmarsson:
The effect of regularization on variance error. IEEE Trans. Autom. Control. 49(7): 1142-1147 (2004) - [j11]Brett Ninness, Håkan Hjalmarsson:
Variance error quantifications that are exact for finite-model order. IEEE Trans. Autom. Control. 49(8): 1275-1291 (2004) - [c18]Henrik Jansson, Håkan Hjalmarsson:
Convex computation of worst case criteria with applications in identification and control. CDC 2004: 3132-3137 - [c17]Niels Möller, Karl Henrik Johansson, Håkan Hjalmarsson:
Making retransmission delays in wireless links friendlier to TCP. CDC 2004: 5134-5139 - 2003
- [j10]Weng Khuen Ho, Y. Hong, Anders Hansson, Håkan Hjalmarsson, J. W. Deng:
Relay auto-tuning of PID controllers using iterative feedback tuning. Autom. 39(1): 149-157 (2003) - [c16]Brett Ninness, Håkan Hjalmarsson:
On the frequency domain accuracy of closed loop estimates. CDC 2003: 5997-6002 - [c15]Brett Ninness, Håkan Hjalmarsson:
Variance error quantifications that are exact for finite model order. CDC 2003: 6003-6008 - 2002
- [c14]Henrik Jansson, Håkan Hjalmarsson:
From open-loop learning to closed-loop control. CDC 2002: 4209-4214 - [c13]Sandor M. Veres, Håkan Hjalmarsson:
Tuning for robustness and performance using iterative feedback tuning. CDC 2002: 4682-4687 - 2001
- [c12]Björn Henriksson, Ola Markusson, Håkan Hjalmarsson:
Control relevant identification of nonlinear systems using linear models. ACC 2001: 1178-1183 - [c11]Ola Markusson, Håkan Hjalmarsson:
Higher order cumulant based parameter estimation in nonlinear time series models. ACC 2001: 4888-4889 - [c10]Håkan Hjalmarsson, Kristian Lindqvist:
Identification for control: L2 and L∞ methods. CDC 2001: 2701-2706 - [c9]Kristian Lindqvist, Håkan Hjalmarsson:
Identification for control: adaptive input design using convex optimization. CDC 2001: 4326-4331 - [c8]Ola Markusson, Håkan Hjalmarsson, Mikael Norrlof:
Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion. CDC 2001: 4481-4482 - [c7]Håkan Hjalmarsson, Kristian Lindqvis:
Identification of performance limitations in control. ECC 2001: 1446-1451 - [c6]Håkan Hjalmarsson, Sandor M. Veres:
Robust loopshaping using iterative feedback tuning. ECC 2001: 2046-2051 - [c5]Ola Markusson, Håkan Hjalmarsson:
Spectral matching for parameter estimation in nonlinear input-output models. ECC 2001: 3665-3670 - 2000
- [c4]Ola Markusson, Håkan Hjalmarsson:
Inversion of nonlinear stochastic models for parameter estimation. CDC 2000: 1591-1596
1990 – 1999
- 1999
- [j9]Brett Ninness, Håkan Hjalmarsson, Fredrik Gustafsson:
The fundamental role of general orthonormal bases in system identification. IEEE Trans. Autom. Control. 44(7): 1384-1406 (1999) - [c3]Brett Ninness, Håkan Hjalmarsson:
Signal spectra and conditioning when using orthonormal parameterisation. ECC 1999: 4656-4661 - 1998
- [j8]Håkan Hjalmarsson:
Optimally robust system identification of systems subject to amplitude-bounded stochastic disturbances. IEEE Trans. Autom. Control. 43(7): 947-953 (1998) - [c2]Ola Markusson, Håkan Hjalmarsson:
Parameter estimation in partitioned nonlinear stochastic models. EUSIPCO 1998: 1-4 - [c1]Håkan Hjalmarsson, Brett Ninness:
Fast, non-iterative estimation of hidden Markov models. ICASSP 1998: 2253-2256 - 1996
- [j7]Håkan Hjalmarsson, Michel Gevers, Franky De Bruyne:
For model-based control design, closed-loop identification gives better performance. Autom. 32(12): 1659-1673 (1996) - [j6]Hüseyin Akçay, Håkan Hjalmarsson, Lennart Ljung:
On the choice of norms in system identification. IEEE Trans. Autom. Control. 41(9): 1367-1372 (1996) - 1995
- [j5]Fredrik Gustafsson, Håkan Hjalmarsson:
Twenty-one ML estimators for model selection. Autom. 31(10): 1377-1392 (1995) - [j4]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) - [j3]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) - [j2]Håkan Hjalmarsson, Svante Gunnarsson, Michel Gevers:
Model-free Tuning of a Robust Regulator for a Flexible Transmission System. Eur. J. Control 1(2): 148-156 (1995) - [j1]Håkan Hjalmarsson, Fredrik Gustafsson:
Composite modeling of transfer functions. IEEE Trans. Autom. Control. 40(5): 820-832 (1995)
Coauthor Index
[j92] [i37] [i35] [i33] [i32] [j90] [j89] [c103] [c102] [i28] [j79] [j75] [j71] [j68] [j67] [i22] [i21] [j60] [j56] [c86] [c83] [c82] [j55] [c79] [c77] [i15] [j49] [j48] [c73] [c72] [c70] [c69] [c68] [i10] [i9] [j47] [j46] [j45] [j44] [c67] [c64] [c63] [c62] [c60] [c59] [i5] [i3] [j43] [j41] [c57] [c54] [c52] [i1] [j38] [j37] [j36] [j34] [c48] [c47] [c46] [c44] [c43] [j28] [c40] [c38] [c37] [c36] [c35] [c34] [c32]
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