Håkan Hjalmarsson

Orcid: 0000-0002-9368-3079

Affiliations:
  • KTH Royal Institute of Technology, Stockholm, Sweden


According to our database1, Håkan Hjalmarsson authored at least 211 papers between 1995 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2013, "For contributions to data-based controller design".

Timeline

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Bibliography

2024
DeepBayes - An estimator for parameter estimation in stochastic nonlinear dynamical models.
Autom., January, 2024

Coherence-based Input Design for Sparse System Identification.
CoRR, 2024

Data-driven Bayesian estimation of Monod kinetics.
CoRR, 2024

2023
On the informativity of direct identification experiments in dynamical networks.
Autom., February, 2023

Coherence-Based Input Design for Nonlinear Systems.
IEEE Control. Syst. Lett., 2023

Application-Oriented Input Design With Low Coherence Constraint.
IEEE Control. Syst. Lett., 2023

2022
Regret Minimization for Linear Quadratic Adaptive Controllers Using Fisher Feedback Exploration.
IEEE Control. Syst. Lett., 2022

Optimal exploration strategies for finite horizon regret minimization in some adaptive control problems.
CoRR, 2022

Optimal Input Design for Sparse System Identification.
Proceedings of the European Control Conference, 2022

Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
An integrated approach for modeling and identification of perfusion bioreactors via basis flux modes.
Comput. Chem. Eng., 2021

Least costly identification experiment for the identification of one module in a dynamic network.
Autom., 2021

Robust optimal identification experiment design for multisine excitation.
Autom., 2021

Optimal Input Design Through Infinity Norm Minimization Using Proximal Mapping.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Willems' fundamental lemma based on second-order moments.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach.
IEEE Trans. Autom. Control., 2020

The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes].
IEEE Signal Process. Mag., 2020

Learning Robust LQ-Controllers Using Application Oriented Exploration.
IEEE Control. Syst. Lett., 2020

Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes.
Comput. Chem. Eng., 2020

Identification of stochastic nonlinear models using optimal estimating functions.
Autom., 2020

Estimation of Heteroscedastic Multilinear Systems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

On Reducing the Coherence in Sparse System Identification.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Unscented Bayes Methods for Hierarchical Gaussian Processes.
Proceedings of the Australian and New Zealand Control Conference, 2020

Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations.
Proceedings of the 2020 American Control Conference, 2020

2019
Parametric Identification Using Weighted Null-Space Fitting.
IEEE Trans. Autom. Control., 2019

Learning sparse linear dynamic networks in a hyper-parameter free setting.
CoRR, 2019

Bayesian nonparametric identification of Wiener systems.
Autom., 2019

Modeling and identification of uncertain-input systems.
Autom., 2019

Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting.
Autom., 2019

Linear prediction error methods for stochastic nonlinear models.
Autom., 2019

Robust exploration in linear quadratic reinforcement learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems.
Proceedings of the 17th European Control Conference, 2019

Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Multi-Step Least-Squares Method for Nonlinear Rational Models.
Proceedings of the 2019 American Control Conference, 2019

2018
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models.
IEEE Control. Syst. Lett., 2018

Hierarchical Robust Analysis for Identified Systems in Network.
CoRR, 2018

Weighted Null-Space Fitting for Identification of Cascade Networks.
CoRR, 2018

Analysis of averages over distributions of Markov processes.
Autom., 2018

Open-loop asymptotically efficient model reduction with the Steiglitz-McBride method.
Autom., 2018

An empirical Bayes approach to identification of modules in dynamic networks.
Autom., 2018

Optimal identification experiment design for the interconnection of locally controlled systems.
Autom., 2018

Semi-Parametric Kernel-Based Identification of Wiener Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Weighted Null-Space Fitting for Cascade Networks with Arbitrary Location of Sensors and Excitation Signals.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Consistent Estimators of Stochastic MIMO Wiener Models Based on Suboptimal Predictors.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Adaptive Input Design for LTI Systems.
IEEE Trans. Autom. Control., 2017

EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation.
IEEE Control. Syst. Lett., 2017

Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification.
CoRR, 2017

On anti-aliasing filtering and over-sampling scheme in system identification.
Comput. Chem. Eng., 2017

A nonparametric kernel-based approach to Hammerstein system identification.
Autom., 2017

Covariance analysis in SISO linear systems identification.
Autom., 2017

ARX modeling of unstable linear systems.
Autom., 2017

Variance analysis of linear SIMO models with spatially correlated noise.
Autom., 2017

Cost function shaping of the output error criterion.
Autom., 2017

A new kernel-based approach to system identification with quantized output data.
Autom., 2017

Recursive identification based on weighted null-space fitting.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
An application-oriented approach to dual control with excitation for closed-loop identification.
Eur. J. Control, 2016

ARX modeling of unstable Box-Jenkins models.
CoRR, 2016

Optimal model order reduction with the Steiglitz-McBride method for open-loop data.
CoRR, 2016

The Box-Jenkins Steiglitz-McBride algorithm.
Autom., 2016

The transient impulse response modeling method for non-parametric system identification.
Autom., 2016

Robust EM kernel-based methods for linear system identification.
Autom., 2016

Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.
Annu. Rev. Control., 2016

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Kernel-based system identification from noisy and incomplete input-output data.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A weighted least squares method for estimation of unstable systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Identification of modules in dynamic networks: An empirical Bayes approach.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A simulated maximum likelihood method for estimation of stochastic Wiener systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Experiment Design and Identification for Control.
Proceedings of the Encyclopedia of Systems and Control, 2015

The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control.
IEEE/ACM Trans. Netw., 2015

A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems.
IEEE Trans. Autom. Control., 2015

Almost sure stability and stabilization of discrete-time stochastic systems.
Syst. Control. Lett., 2015

Least costly closed-loop performance diagnosis and plant re-identification.
Int. J. Control, 2015

A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics.
CoRR, 2015

A new kernel-based approach for overparameterized Hammerstein system identification.
CoRR, 2015

Bayesian kernel-based system identification with quantized output data.
CoRR, 2015

A graph theoretical approach to input design for identification of nonlinear dynamical models.
Autom., 2015

Blind identification strategies for room occupancy estimation.
Proceedings of the 14th European Control Conference, 2015

On the estimation of initial conditions in kernel-based system identification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

A new kernel-based approach to overparameterized Hammerstein system identification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On estimating initial conditions in unstructured models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On the variance analysis of identified linear MIMO models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Multi-room occupancy estimation through adaptive gray-box models.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Outlier robust kernel-based system identification using ℓ1-Laplace techniques.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Iterative Data-Driven ℋ<sub>∞</sub> Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation.
IEEE Trans. Control. Syst. Technol., 2014

Sparse Estimation of Polynomial and Rational Dynamical Models.
IEEE Trans. Autom. Control., 2014

A kernel-based approach to Hammerstein system identification.
CoRR, 2014

Applications Oriented Input Design in Time-Domain Through Cyclic Methods.
CoRR, 2014

Blind system identification using kernel-based methods.
CoRR, 2014

Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models.
Autom., 2014

Piecewise Toeplitz matrices-based sensing for rank minimization.
Proceedings of the 22nd European Signal Processing Conference, 2014

Model structure selection - An update.
Proceedings of the 13th European Control Conference, 2014

Experiment design for parameter estimation in nonlinear systems based on multilevel excitation.
Proceedings of the 13th European Control Conference, 2014

Application set approximation in optimal input design for model predictive control.
Proceedings of the 13th European Control Conference, 2014

A weighted least-squares method for parameter estimation in structured models.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Applications oriented input design for closed-loop system identification: a graph-theory approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

On the variance of identified SIMO systems with spatially correlated output noise.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
A Note on the SPICE Method.
IEEE Trans. Signal Process., 2013

Frequency smoothing gains in preamble-based channel estimation for multicarrier systems.
Signal Process., 2013

Training sequence design for MIMO channels: an application-oriented approach.
EURASIP J. Wirel. Commun. Netw., 2013

On the Design of Channel Estimators for given Signal Estimators and Detectors
CoRR, 2013

Adaptive experiment design for LTI systems.
CoRR, 2013

Input design as a tool to improve the convergence of PEM.
Autom., 2013

OOK/DS-CDMA bit error probability over Rayleigh fading channels.
Proceedings of IEEE International Conference on Communications, 2013

A sparse estimation technique for general model structures.
Proceedings of the 12th European Control Conference, 2013

Model predictive control with integrated experiment design for output error systems.
Proceedings of the 12th European Control Conference, 2013

Robust and adaptive excitation signal generation for input and output constrained systems.
Proceedings of the 12th European Control Conference, 2013

Optimal input design for non-linear dynamic systems: A graph theory approach.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A geometric approach to variance analysis of cascaded systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system.
Proceedings of the American Control Conference, 2013

Generation of excitation signals with prescribed autocorrelation for input and output constrained systems.
Proceedings of the American Control Conference, 2013

Efficient OOK/DS-CDMA detection threshold selection.
Proceedings of the American Control Conference, 2013

Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012
On the Performance of Optimal Input Signals for Frequency Response Estimation.
IEEE Trans. Autom. Control., 2012

Recursive estimators with Markovian jumps.
Syst. Control. Lett., 2012

Analyzing iterations in identification with application to nonparametric H<sub>∞</sub>-norm estimation.
Autom., 2012

Finite model order accuracy in Hammerstein model estimation.
Autom., 2012

Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation.
Autom., 2012

A Chernoff convexification for chance constrained MIMO training sequence design.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Correlation of distortion noise between the branches of MIMO transmit antennas.
Proceedings of the 23rd IEEE International Symposium on Personal, 2012

Order and structural dependence selection of LPV-ARX models revisited.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A unified experiment design framework for detection and identification in closed-loop performance diagnosis.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

A Chernoff relaxation on the problem of application-oriented finite sample experiment design.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Adaptive experiment design for ARMAX systems?
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification.
IEEE Trans. Autom. Control., 2011

A Geometric Approach to Variance Analysis in System Identification.
IEEE Trans. Autom. Control., 2011

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

An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems.
Autom., 2011

The cost of complexity in system identification: The Output Error case.
Autom., 2011

Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller.
Autom., 2011

A design algorithm using external perturbation to improve Iterative Feedback Tuning convergence.
Autom., 2011

On the accuracy in errors-in-variables identification compared to prediction-error identification.
Autom., 2011

On preamble-based channel estimation in OFDM/OQAM systems.
Proceedings of the 19th European Signal Processing Conference, 2011

Chance constrained input design.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Sparse estimation based on a validation criterion.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On optimal input design in system identification for model predictive control.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On consistent estimation of farthest NMP zeros of stable LTI systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Input design using cylindrical algebraic decomposition.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

A least squares approach to direct frequency response estimation.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

An axiomatic fluid-flow model for congestion control analysis.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Queue Dynamics With Window Flow Control.
IEEE/ACM Trans. Netw., 2010

The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems.
IEEE Trans. Autom. Control., 2010

Non-parametric methods for L<sub>2</sub>-gain estimation using iterative experiments.
Autom., 2010

Identification for robust H<sub>2</sub> deconvolution filtering.
Autom., 2010

On optimal input signal design for frequency response estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On optimal input design in system identification for control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On optimal input design for nonlinear FIR-type systems.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Identification of nonlinear systems using misspecified predictors.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Nonlinear state-dependent delay modeling and stability analysis of internet congestion control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
An Improved Link Model for Window Flow Control and Its Application to FAST TCP.
IEEE Trans. Autom. Control., 2009

System Identification of Complex and Structured Systems.
Eur. J. Control, 2009

Variance results for identification of cascade systems.
Autom., 2009

Variance-error quantification for identified poles and zeros.
Autom., 2009

Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design.
Autom., 2009

Finite model order optimal input design for minimum variance control.
Proceedings of the 10th European Control Conference, 2009

On performance limitations of congestion control.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

MIMO experiment design based on asymptotic model order theory.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Input design for asymptotic robust H2-filtering.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Closed loop experiment design for linear time invariant dynamical systems via LMIs.
Autom., 2008

Identification and control: Joint input design and <i>I</i> state feedback with ellipsoidal parametric uncertainty via LMIs.
Autom., 2008

Identification for control of multivariable systems: Controller validation and experiment design via LMIs.
Autom., 2008

Window Flow Control: Macroscopic Properties from Microscopic Factors.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

ACK-Clocking Dynamics: Modelling the Interaction between Windows and the Network.
Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Variance analysis for identification of cascade systems.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Improving convergence of Iterative Feedback Tuning using optimal external perturbations.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
A geometric approach to variance analysis in system identification: Linear Time-Invariant Systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

A geometric approach to variance analysis in system identification: Theory and nonlinear systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Optimal Input Design for Identification of Non-linear Systems: Learning From the Linear Case.
Proceedings of the American Control Conference, 2007

2006
Conclusions of the ARTIST2 roadmap on control of computing systems.
SIGBED Rev., 2006

Least-squares estimation of a class of frequency functions: A finite sample variance expression.
Autom., 2006

ACK-clock Dynamics in Network Congestion Control - An Inner Feedback Loop with Implications on Inelastic Flow Impact.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Input design via LMIs admitting frequency-wise model specifications in confidence regions.
IEEE Trans. Autom. Control., 2005

Analysis of the variability of joint input-output estimation methods.
Autom., 2005

On the frequency domain accuracy of closed-loop estimates.
Autom., 2005

From experiment design to closed-loop control.
Autom., 2005

Exact quantification of the variance of estimated zeros.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Local Analysis of Structural Limitations of Network Congestion Control.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Adaptive input design in system identification.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Identification and Control: Joint Input Design and H∞ State Feedback with Ellipsoidal Parametric Uncertainty.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Variance error quantifications that are exact for finite-model order.
IEEE Trans. Autom. Control., 2004

The effect of regularization on variance error.
IEEE Trans. Autom. Control., 2004

Making retransmission delays in wireless links friendlier to TCP.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

Convex computation of worst case criteria with applications in identification and control.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Relay auto-tuning of PID controllers using iterative feedback tuning.
Autom., 2003

2002
Tuning for robustness and performance using iterative feedback tuning.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

From open-loop learning to closed-loop control.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Spectral matching for parameter estimation in nonlinear input-output models.
Proceedings of the 6th European Control Conference, 2001

Robust loopshaping using iterative feedback tuning.
Proceedings of the 6th European Control Conference, 2001

Identification of performance limitations in control.
Proceedings of the 6th European Control Conference, 2001

Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Identification for control: adaptive input design using convex optimization.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Identification for control: L<sub>2</sub> and L<sub>∞</sub> methods.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Higher order cumulant based parameter estimation in nonlinear time series models.
Proceedings of the American Control Conference, 2001

Control relevant identification of nonlinear systems using linear models.
Proceedings of the American Control Conference, 2001

2000
Inversion of nonlinear stochastic models for parameter estimation.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1999
The fundamental role of general orthonormal bases in system identification.
IEEE Trans. Autom. Control., 1999

Signal spectra and conditioning when using orthonormal parameterisation.
Proceedings of the 5th European Control Conference, 1999

1998
Optimally robust system identification of systems subject to amplitude-bounded stochastic disturbances.
IEEE Trans. Autom. Control., 1998

Fast, non-iterative estimation of hidden Markov models.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Parameter estimation in partitioned nonlinear stochastic models.
Proceedings of the 9th European Signal Processing Conference, 1998

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

For model-based control design, closed-loop identification gives better performance.
Autom., 1996

1995
Composite modeling of transfer functions.
IEEE Trans. Autom. Control., 1995

Model-free Tuning of a Robust Regulator for a Flexible Transmission System.
Eur. J. 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

Twenty-one ML estimators for model selection.
Autom., 1995


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