H̊akan Hjalmarsson

H̊akan Hjalmarsson's AcademicInfluence.com Rankings

H̊akan Hjalmarsson

Engineering

#5599

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#6860

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Systems Engineering

#62

World Rank

#65

Historical Rank

Applied Physics

#1648

World Rank

#1680

Historical Rank

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Engineering

H̊akan Hjalmarsson's Degrees

PhD Control Engineering Chalmers University of Technology

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H̊akan Hjalmarsson's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Nonlinear black-box modeling in system identification: a unified overview (1995) (2045)
Iterative feedback tuning: theory and applications (1998) (884)
From experiment design to closed-loop control (2005) (493)
Iterative feedback tuning—an overview (2002) (425)
Nonlinear black-box models in system identification: Mathematical foundations (1995) (397)
For model-based control design, closed-loop identification gives better performance (1996) (269)
Input design via LMIs admitting frequency-wise model specifications in confidence regions (2005) (213)
System identification of complex and structured systems (2009) (170)
The fundamental role of general orthonormal bases in system identification (1999) (154)
Neural Networks in System Identification (1994) (114)
Efficient tuning of linear multivariable controllers using iterative feedback tuning (1999) (109)
Relay auto-tuning of PID controllers using iterative feedback tuning (2003) (104)
Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design (2009) (85)
Identification for control: adaptive input design using convex optimization (2001) (85)
Model-free Tuning of a Robust Regulator for a Flexible Transmission System (1995) (78)
Control of nonlinear systems using iterative feedback tuning (1998) (76)
Aspects on Incomplete Modeling in System Identification (1993) (69)
Identification for control of multivariable systems: Controller validation and experiment design via LMIs (2008) (64)
Generalized Fourier and Toeplitz Results for Rational Orthonormal Bases (1999) (62)
Closed loop experiment design for linear time invariant dynamical systems via LMIs (2008) (60)
Four Encounters with System Identification (2011) (60)
Twenty-one ML estimators for model selection (1995) (60)
Non-parametric methods for L2-gain estimation using iterative experiments (2010) (60)
Variance error quantifications that are exact for finite-model order (2004) (57)
Iterative Data-Driven ${\cal H}_{\infty}$ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation (2014) (57)
Optimality and sub-optimality of iterative identification and control design schemes (1995) (56)
Optimal Input Design for Identification of Non-linear Systems: Learning From the Linear Case (2007) (56)
Iterative feedback tuning of linear time-invariant MIMO systems (1998) (54)
Model predictive control with integrated experiment design for output error systems (2013) (54)
Some Reflections on Control Design Based on Experimental Data (1994) (53)
A Note on the SPICE Method (2012) (52)
Estimating model variance in the case of undermodeling (1992) (48)
Iterative Feedback Tuning: theory and applications in chemical process control (1997) (46)
Optimal Input Design Using Linear Matrix Inequalities (2000) (46)
Robust EM kernel-based methods for linear system identification (2014) (45)
Experimental evaluation of model predictive control with excitation (MPC-X) on an industrial depropanizer (2015) (44)
Adaptive input design in system identification (2005) (44)
Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion (2001) (43)
On the choice of norms in system identification (1994) (43)
Conclusions of the ARTIST2 roadmap on control of computing systems (2006) (42)
Analyzing iterations in identification with application to nonparametric H∞-norm estimation (2012) (41)
Application-Oriented Input Design in System Identification: Optimal Input Design for Control [Applications of Control] (2017) (40)
Identification for control: closing the loop gives more accurate controllers (1994) (38)
Identification of Box-Jenkins Models Using Structured ARX Models and Nuclear Norm Relaxation (2012) (38)
On Estimation of Model Quality in System Identification (1990) (37)
Variance results for identification of cascade systems (2009) (37)
Sparse estimation based on a validation criterion (2011) (37)
An empirical Bayes approach to identification of modules in dynamic networks (2017) (35)
On optimal input design in system identification for control (2010) (35)
Gradient approximations in iterative feedback tuning for multivariable processes (2004) (34)
A new kernel-based approach to system identification with quantized output data (2016) (32)
On optimal input design for nonlinear FIR-type systems (2010) (32)
An Improved Link Model for Window Flow Control and Its Application to FAST TCP (2009) (32)
Iterative Feedback Tuning (1998) (31)
Identification and control: Joint input design and I state feedback with ellipsoidal parametric uncertainty via LMIs (2008) (30)
Tuning for robustness and performance using iterative feedback tuning (2002) (30)
On Some Robustness Issues in Input Design (2006) (30)
On the frequency domain accuracy of closed loop estimates (2003) (29)
MPC Oriented Experiment Design (2011) (29)
Sparse Estimation of Polynomial and Rational Dynamical Models (2014) (29)
A nonparametric kernel-based approach to Hammerstein system identification (2017) (29)
Robust exploration in linear quadratic reinforcement learning (2019) (29)
Optimal input design for non-linear dynamic systems: A graph theory approach (2013) (28)
Correlation of distortion noise between the branches of MIMO transmit antennas (2012) (28)
A Geometric Approach to Variance Analysis in System Identification (2011) (28)
Making retransmission delays in wireless links friendlier to TCP (2004) (27)
Robust Input Design Using Sum of Squares Constraints (2006) (27)
A weighted least-squares method for parameter estimation in structured models (2014) (27)
A graph theoretical approach to input design for identification of nonlinear dynamical models (2015) (27)
Variance-error quantification for identified poles and zeros (2009) (26)
Least-squares estimation of a class of frequency functions: A finite sample variance expression (2006) (26)
Queue Dynamics With Window Flow Control (2010) (26)
ACK-Clocking Dynamics: Modelling the Interaction between Windows and the Network (2008) (26)
The Box-Jenkins Steiglitz-McBride algorithm (2016) (25)
Optimal experiment design in closed loop (2005) (25)
An application-oriented approach to dual control with excitation for closed-loop identification (2016) (25)
Window Flow Control: Macroscopic Properties from Microscopic Factors (2008) (25)
Experiment design for parameter estimation in nonlinear systems based on multilevel excitation (2014) (25)
Nonlinear state-dependent delay modeling and stability analysis of internet congestion control (2010) (25)
Identification for robust H2 deconvolution filtering (2010) (23)
A design algorithm using external perturbation to improve Iterative Feedback Tuning convergence (2011) (23)
APPLICATIONS OF MIXED H2 AND Hinfin; INPUT DESIGN IN IDENTIFICATION (2005) (23)
From experiments to closed loop control (2003) (23)
On optimal input design in system identification for model predictive control (2011) (23)
On preamble-based channel estimation in OFDM/OQAM systems (2011) (22)
System identification: A Wiener-Hammerstein benchmark (2012) (21)
Variance error quantifications that are exact for finite model order (2003) (21)
Chance constrained input design (2011) (21)
The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems (2010) (21)
A General Framework for Iterative Learning Control (2002) (21)
Learning Robust LQ-Controllers Using Application Oriented Exploration (2020) (21)
Model Free Tuning of Controllers : Experience with Time-Varying Linear Systems (1995) (21)
Maximum likelihood estimation of models with unstable dynamics and nonminimum phase noise zeros (1999) (20)
An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems (2011) (20)
Model Free Data Driven Optimal Tuning of Controller Parameters (1994) (20)
Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller (2011) (19)
A kernel-based approach to Hammerstein system identification (2014) (19)
APPLICATIONS OF MIXED H2 AND H∞ INPUT DESIGN IN IDENTIFICATION (2005) (19)
How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification (2011) (18)
Model structure and numerical properties of normal equations (1999) (18)
Input design for identification of zeros (2005) (18)
A geometric approach to variance analysis in system identification: Theory and nonlinear systems (2007) (17)
Input design as a tool to improve the convergence of PEM (2013) (17)
The Cost of Complexity in Identification of FIR Systems (2008) (17)
Open-loop asymptotically efficient model reduction with the Steiglitz-McBride method (2018) (17)
Identification for Automotive Systems (2012) (17)
The transient impulse response modeling method for non-parametric system identification (2016) (17)
Some modeling and estimation issues in control of heterogeneous networks (2004) (17)
Blind identification strategies for room occupancy estimation (2015) (17)
Parametric Identification Using Weighted Null-Space Fitting (2017) (16)
Frequency smoothing gains in preamble-based channel estimation for multicarrier systems (2013) (16)
Application set approximation in optimal input design for model predictive control (2013) (16)
Blind system identification using kernel-based methods (2014) (16)
Analysis of the variability of joint input-output estimation methods (2005) (16)
Identification for control: L2 and L∞ methods (2001) (16)
Estimation of RTT and bandwidth for congestion Control Applications in Communication Networks (2004) (16)
Least costly closed-loop performance diagnosis and plant re-identification (2015) (16)
The Transient Impulse Response Modeling Method and the Local Polynomial Method for Nonparametric System Identification (2012) (15)
Almost sure stability and stabilization of discrete-time stochastic systems (2015) (15)
Identification and Control: Joint Input Design and H∞State Feedback with Ellipsoidal Parametric Uncertainty (2005) (15)
Mixed H∞ and H2 Input Design for Identification (2004) (15)
On the Performance of Optimal Input Signals for Frequency Response Estimation (2012) (15)
On the accuracy in errors-in-variables identification compared to prediction-error identification (2011) (14)
A least squares approach to direct frequency response estimation (2011) (14)
Robust and adaptive excitation signal generation for input and output constrained systems (2013) (14)
A geometric approach to variance analysis of cascaded systems (2013) (14)
Application-Oriented Finite Sample Experiment Design: A Semidefinite Relaxation Approach (2012) (14)
A geometric approach to variance analysis in system identification: Linear Time-Invariant Systems (2007) (14)
ACK-clock Dynamics in Network Congestion Control - An Inner Feedback Loop with Implications on Inelastic Flow Impact (2006) (14)
Training sequence design for MIMO channels: an application-oriented approach (2013) (14)
Using a sufficient condition to analyze the interplay between identification and control (2003) (14)
Generation of excitation signals with prescribed autocorrelation for input and output constrained systems (2013) (13)
On optimal input signal design for frequency response estimation (2010) (13)
ARX modeling of unstable linear systems (2016) (13)
VALIDATION OF STABILITY FOR AN INDUCTION MACHINE DRIVE USING POWER ITERATIONS (2005) (13)
On Direct Identification of Physical Parameters in Non-Linear Models (2004) (13)
Bayesian nonparametric identification of Wiener systems (2019) (13)
Fast, non-iterative estimation of hidden Markov models (1998) (13)
Significance regression: a statistical approach to partial least squares (1997) (13)
EM-Based Hyperparameter Optimization for Regularized Volterra Kernel Estimation (2017) (13)
Round trip time estimation in communication networks using adaptive Kalman filtering (2004) (13)
Special section on algorithms and applications of Iterative Feedback Tuning (2003) (12)
The Conservation of Information, Towards an Axiomatized Modular Modeling Approach to Congestion Control (2013) (12)
Predictor-based multivariable closed-loop system identification of the EXTRAP T2R reversed field pinch external plasma response (2011) (12)
Analysis of TCP/IP over WCDMA Wireless Systems under Power Control, MAI and Link Level Error Recovery (2005) (12)
Prediction of Engine Noise using Parameterized Combustion Pressure Curves (2007) (12)
A discussion of "unknown-but-bounded" disturbances in system identification (1993) (12)
Iterative feedback tuning of controllers in cold rolling mills (1999) (12)
Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes (2009) (12)
A benchmark for data-based office modeling: challenges related to CO$_2$ dynamics (2015) (12)
On Identification of Cascade Systems (2008) (12)
Identification of Linear Models From Quantized Data: A Midpoint-Projection Approach (2020) (12)
Order and structural dependence selection of LPV-ARX models revisited (2012) (12)
Non-parametric Frequency Function Estimation using Transient Impulse Response Modelling (2012) (11)
Gain estimation for Hammerstein systems (2006) (11)
Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation (2012) (11)
Linear prediction error methods for stochastic nonlinear models (2019) (11)
The effect of regularization on variance error (2004) (11)
ON METHODS FOR GRADIENT ESTIMATION IN IFT FOR MIMO SYSTEMS (2002) (11)
Dynamic Mapping of Diesel Engine through System Identification (2011) (11)
Multi-room occupancy estimation through adaptive gray-box models (2015) (11)
System Identification through the Eyes of Model Validation (1995) (11)
Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation (2011) (11)
Optimal experiment design in closed loop with unknown, nonlinear and implicit controllers using stealth identification (2014) (11)
Frequency Domain Expressions of the Accuracy of a Model-Free Control Design Scheme (1997) (10)
A sequential least squares algorithm for ARMAX dynamic network identification (2018) (10)
ON OPTIMAL INPUT DESIGN IN SYSTEM IDENTIFICATION1 (2006) (10)
Asymptotic variance expressions for output error model structures (1999) (10)
EXACT QUANTIFICATION OF VARIANCE ERROR (2002) (10)
Composite modeling of transfer functions (1995) (10)
RANDOMIZED ITERATIVE FEEDBACK TUNING (2002) (10)
Applications Oriented Input Design in Time-Domain Through Cyclic Methods (2014) (9)
A new kernel-based approach to overparameterized Hammerstein system identification (2015) (9)
Variance Results for Parallel Cascade Serial Systems (2014) (9)
Outlier robust system identification: a Bayesian kernel-based approach (2013) (9)
A simulated maximum likelihood method for estimation of stochastic Wiener systems (2016) (9)
Adaptive input design for ARX systems (2007) (8)
Variance analysis of identified linear MISO models having spatially correlated inputs, with application to parallel Hammerstein models (2014) (8)
IDENTIFICATION OF PERFORMANCE LIMITATIONS IN CONTROL USING ARX-MODELS (2002) (8)
Bayesian kernel-based system identification with quantized output data (2015) (8)
Consistent estimation of real NMP zeros in stable LTI systems of arbitrary complexity (2009) (8)
Identification of nonlinear kinetics of macroscopic bio-reactions using multilinear Gaussian processes (2020) (8)
Sparse Estimation of Rational Dynamical Models (2012) (8)
Robust Experiment Design for System Identification via Semi-Infinite Programming Techniques (2012) (8)
Robust loopshaping using iterative feedback tuning (2001) (8)
A Model Variance Estimator (1993) (8)
Outlier robust kernel-based system identification using ℓ1-Laplace techniques (2015) (7)
Identification of modules in dynamic networks: An empirical Bayes approach (2016) (7)
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives (2016) (7)
Input design using cylindrical algebraic decomposition (2011) (7)
The cost of complexity in system identification: The Output Error case (2011) (7)
Incorporating noise modeling in dynamic networks using non-parametric models (2017) (7)
On estimation of the gain of a dynamical system (2011) (7)
On estimating initial conditions in unstructured models (2015) (7)
A sparse estimation technique for general model structures (2013) (7)
On the convergence of the Prediction Error Method to its global minimum (2012) (7)
Optimal identification experiment design for the interconnection of locally controlled systems (2018) (7)
Cost function shaping of the output error criterion (2017) (7)
Input Signal Generation for Constrained Multiple-Input Multple-Output Systems (2014) (7)
Improving convergence of Iterative Feedback Tuning using optimal external perturbations (2008) (7)
Data-Driven Methods for L2-Gain Estimation (2009) (6)
Consistent identification of dynamic networks subject to white noise using Weighted Null-Space Fitting (2020) (6)
Randomization Methods in Optimization and Adaptive Control (2002) (6)
A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems (2015) (6)
CLOSED LOOP IDENTIFICATION OF UNSTABLE POLES AND NON-MINIMUM PHASE ZEROS (2005) (6)
A System, Signals and Identification Toolbox in Mathematica with Symbolic Capabilities (2009) (6)
Convex computation of worst case criteria with applications in identification and control (2004) (6)
A Tutorial on Applications-Oriented Optimal Experiment Design (2012) (6)
Application of a Linear PEM Estimator to a Stochastic Wiener-Hammerstein Benchmark Problem⁎ (2018) (6)
Towards accurate congestion control models : validation and stability analysis (2006) (6)
A unified experiment design framework for detection and identification in closed-loop performance diagnosis (2012) (6)
An axiomatic fluid-flow model for congestion control analysis (2011) (6)
Simulated Pseudo Maximum Likelihood Identification of Nonlinear Models (2017) (6)
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit (2016) (6)
Uncertainty in system identification: learning from the theory of risk (2015) (6)
Kernel-based system identification from noisy and incomplete input-output data (2016) (6)
MIXED H2 AND H∞ INPUT DESIGN FOR MULTIVARIABLE SYSTEMS (2006) (5)
Recursive estimators with Markovian jumps (2012) (5)
Sparse Estimation Techniques for Basis Function Selection in Wideband System Identification (2012) (5)
Modeling and identification of uncertain-input systems (2017) (5)
On the Effect of Noise Correlation in Parameter Identification of SIMO Systems (2015) (5)
How to Estimate Model Uncertainty in the Case of Under-Modelling (1990) (5)
On Neural Network Model Structures in System Identification (1996) (5)
Covariance analysis in SISO linear systems identification (2017) (5)
Control relevant identification of nonlinear systems using linear models (2001) (5)
Estimation of The Variability of Time-Varying Systems (1991) (5)
Variance analysis for identification of cascade systems (2008) (5)
Identification of stochastic nonlinear models using optimal estimating functions (2020) (5)
Identification of performance limitations in control (2001) (5)
Applications oriented input design for closed-loop system identification: a graph-theory approach (2014) (5)
Variance analysis of linear SIMO models with spatially correlated noise (2015) (5)
Inversion of nonlinear stochastic models for parameter estimation (2000) (5)
Optimal experiment design for hypothesis testing applied to functional magnetic resonance imaging (2011) (5)
On Optimal Input Design for Model Predictive Control (2011) (5)
UNBIASED BANDWIDTH ESTIMATION IN COMMUNICATION PROTOCOLS (2005) (5)
A control perspective on optimal input design in system identification (2006) (5)
A Multi-Step Least-Squares Method for Nonlinear Rational Models (2019) (5)
Adaptive experiment design for LTI systems (2013) (4)
On anti-aliasing filtering and over-sampling scheme in system identification (2017) (4)
Adaptive Input Design for LTI Systems (2017) (4)
Identification for control: L/sub 2/ and L/sub /spl infin// methods (2001) (4)
Optimal model order reduction with the Steiglitz-McBride method for open-loop data (2016) (4)
Generation of signals with specified second‐order properties for constrained systems (2016) (4)
Optimal input design for robust H2 deconvolution filtering (2009) (4)
Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion (2010) (4)
Tuning of controllers and generalized hold functions in sampled-data systems using iterative feedback tuning (1999) (4)
Weighted Null-Space Fitting for Identification of Cascade Networks (2018) (4)
Exact quantification of the variance of estimated zeros (2005) (4)
Variational Bayes identification of acyclic dynamic networks (2017) (4)
On performance limitations of congestion control (2009) (4)
Closed Loop Aspects of Fluid Flow Model Identification in Congestion Control (2006) (3)
From open-loop learning to closed-loop control (2002) (3)
A Least Squares Method for Identification of Feedback Cascade Systems (2015) (3)
Adaptive experiment design for ARMAX systems? (2012) (3)
Robust optimal identification experiment design for multisine excitation (2019) (3)
A framework for mixed H-Infinity and H-2 input design (2004) (3)
Optimally robust system identification of systems subject to amplitude-bounded stochastic disturbances (1998) (3)
On explicit characterisation of reproducing kernels with applications in estimation theory (2004) (3)
On the estimation of initial conditions in kernel-based system identification (2015) (3)
Approximate inference of nonparametric Hammerstein models (2017) (3)
A weighted least squares method for estimation of unstable systems (2016) (3)
An exact finite sample variance expression for a class of frequency function estimates (2004) (3)
Conclusions from the European Roadmap on Control of Computing Systems (2006) (3)
Toward Tractable Global Solutions to Maximum-Likelihood Estimation Problems via Sparse Sum-of-Squares Relaxations* (2019) (3)
On direct estimation of physical parameters in nonlinear models (2004) (3)
A Chernoff relaxation on the problem of application-oriented finite sample experiment design (2012) (3)
Approximate Maximum-likelihood Identification of Linear Systems from Quantized Measurements (2018) (3)
Local Analysis of Structural Limitations of Network Congestion Control (2005) (3)
Identification of nonlinear systems using misspecified predictors (2010) (3)
Identification of Non-Linear Differential-Algebraic Equation Models with Process Disturbances (2021) (3)
Outlier-Robust Estimation of Uncertain-Input Systems With Applications to Nonparametric FIR and Hammerstein Models (2018) (3)
Semi-Parametric Kernel-Based Identification of Wiener Systems (2018) (3)
On Router Control for Congestion Avoidance (2002) (3)
Detecting Asymptotically Non-Vanishing Model Uncertainty (1993) (3)
Stability and Performance Analysis of Control Based on Incomplete Models (2019) (3)
Recursive identification based on weighted null-space fitting (2017) (3)
Consistent Estimators of Stochastic MIMO Wiener Models Based on Suboptimal Predictors (2018) (2)
Sparse Estimation of Polynomial and Rational (2014) (2)
A Chernoff convexification for chance constrained MIMO training sequence design (2012) (2)
On the variance of identified SIMO systems with spatially correlated output noise (2014) (2)
On the variance analysis of identified linear MIMO models (2015) (2)
Identification of performance limitations using general SISO structures (2003) (2)
Mean-Squared Error Experiment Design for Linear Regression Models (2012) (2)
Significance Regression: A Statistical Approach to Biased Linear Regression and Partial Least Squares (1993) (2)
Finite model order optimal input design for minimum variance control (2009) (2)
Signiicance Regression: a Statistical Approach to Biased Linear Regression and Partial Least Squares (1993) (2)
Optimal Experiment Design for the Identification of One Module in the Interconnection of Locally Controlled Systems (2019) (2)
Sparse estimation of polynomial dynamical models (2012) (2)
ACCURATE QUANTIFICATION OF VARIANCE ERROR (2002) (2)
The Weighted Null-Space Fitting Method (2017) (2)
Modelling of Random Processes using Orthonormal Bases (1996) (2)
Spectral based parameter estimation in nonlinear stochastic models (2000) (2)
Parameter estimation in partitioned nonlinear stochastic models (1998) (2)
Willems’ fundamental lemma based on second-order moments (2021) (2)
Experiment Design and Identification for Control (2015) (2)
Some Aspects of Iterative Identification and Control Design Schemes (1994) (2)
System Identification for Automotive Systems: Opportunities and Challenges (2012) (2)
Toward Tractable Global Solutions to Bayesian Point Estimation Problems via Sparse Sum-of-Squares Relaxations* (2020) (2)
USING LOCAL AND GLOBAL INFORMATION IN IDENTIFICATION FOR CONTROL (2002) (2)
Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system (2013) (2)
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting (2017) (2)
Regret Minimization for Linear Quadratic Adaptive Controllers Using Fisher Feedback Exploration (2022) (1)
Tuning of Dissolved Oxygen and pH PID Control Parameters in Large Scale Bioreactor by Lag Control (2008) (1)
The Analysis of Variance Error Part II : Fundamental Principles (2001) (1)
Estimation of Model Uncertainty in the Case of Undermodelling (1990) (1)
On maximum likelihood identification of errors-in-variables models (2017) (1)
Nineteen ML Estimations for Model Structure Selection (1993) (1)
MIMO experiment design based on asymptotic model order theory (2009) (1)
The Effect of Regularisation on Variance Error (2007) (1)
Model structure selection — An update (2014) (1)
Assessing Model Uncertainty in Terms of Time-Variations (1991) (1)
Data-Driven Methods for L 2 -Gain Estimation (2009) (1)
Re-Weighting, Regularization Selection, and Transient in Nuclear Norm Based Identification (2015) (1)
On consistent estimation of farthest NMP zeros of stable LTI systems (2011) (1)
Convergence and Variance Analysis of Semi-Parametric Weighted Null-Space Fitting (2017) (1)
NORMAL EQUATIONS (1998) (1)
Dynamic Model Learning : A Geometric Perspective (2018) (1)
A mathematica toolbox for signals, models and identification (2012) (1)
Variance error, reproducing kernels, and orthonormal bases (2005) (1)
Efficient OOK/DS-CDMA detection threshold selection (2013) (1)
Finite model order accuracy in Hammerstein model estimation (2012) (1)
Optimal Robust System Identification: Bounded Stochastic Disturbances (1996) (1)
Identification in closed loop: asymptotic high order variance for restricted complexity models (1998) (1)
Training sequence design for MIMO channels: an application-oriented approach (2013) (1)
Hierarchical Robust Analysis for Identified Systems in Network (2018) (0)
Unscented Bayes Methods for Hierarchical Gaussian Processes (2020) (0)
On the Design of Channel Estimators for given Signal Estimators and Detectors (2013) (0)
Higher order cumulant based parameter estimation in nonlinear time series models (2001) (0)
Asymptotic Relations between Non-Weighted and Exponentially Weighted Series : A Functional Limit Approach (1992) (0)
Distributed Signal Recovery Via Piecewise Orthogonal Matching Pursuit and Finite-Time Consensus (2014) (0)
Assessing model quality from data (1991) (0)
On the Properties of Iterative Schemes (2010) (0)
Transfer Function Estimation : A Multiple Model Based Bayesian Approach (1992) (0)
Unbiased Bandwidth Estimation in Communication Protocols 1 (2005) (0)
Identification forControl ofMultivariable Systems : ControllerValidationandExperimentDesignviaLMIs (2008) (0)
A Mathematica Toolbox for Signals, Systems and Identification (2012) (0)
Associate Editors, Technical (2005) (0)
Least costly identification experiment for the identification of one module in a dynamic network (2019) (0)
Experiment design for parameter estimation of a dynamical system in a nonlinear model structure based on multilevel excitation (2013) (0)
Analysis of averages over distributions of Markov processes (2018) (0)
Mixed H/sub /spl infin// and H/sub 2/ input design for identification (2004) (0)
QUANTIFICATION OF VARIANCE ERROR (2008) (0)
Estimation of Heteroscedastic Multilinear Systems (2020) (0)
Input design for asymptotic robust H2-filtering (2009) (0)
Least squares end performance experiment design in multicarrier systems: The sparse preamble case (2014) (0)
Identiﬁcation of Stochastic Nonlinear Models Using Optimal Estimating Functions (cid:63) (2020) (0)
Agraph theoretical approach to inputdesign for identificationof nonlinear dynamicalmodels (2014) (0)
Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification (2017) (0)
On Identification of Cascade Systems 1 (2007) (0)
Identication of a Class of Nonlinear Dynamical Networks (2018) (0)
OOK/DS-CDMA bit error probability over Rayleigh fading channels (2013) (0)
LinearPredictionErrorMethods for StochasticNonlinearModels ? (2018) (0)
Model variance estimation (1992) (0)
Nonparametric models for Hammerstein-Wiener and Wiener-Hammerstein system identification (2020) (0)
Finitemodel order accuracy inHammersteinmodel estimation (2012) (0)
Exact Quantification of Variance Error 2 2 Problem Setting (2002) (0)
Optimal Input Design for Sparse System Identification (2022) (0)
Inputdesignas a tool to improve the convergenceofPEM ⋆ (2016) (0)
Non-vanishing model errors (1994) (0)
Pertubed Iterative Feedback Tuning (2009) (0)
Identification for robustH2 deconvolutionfiltering (2009) (0)
Optimal Input Design Through Infinity Norm Minimization Using Proximal Mapping (2021) (0)
The Gaussian Maximum-Likelihood Estimator Versus the Optimally Weighted Least-Squares Estimator [Lecture Notes] (2020) (0)
On the informativity of direct identification experiments in dynamical networks (2023) (0)
Analyzing Iterations in Identification with Application to Nonparametric $mathcal{H}_infty$-Norm Estimation (2011) (0)
On optimization of paper machines using economic model predictive control (2018) (0)
Recursive Weighted Null-Space Fitting Method for Identification of Multivariate Systems (2021) (0)
Nonlinear FIR Identification with Model Order Reduction Steiglitz-McBride (2018) (0)
ERROR MODEL STRUCTURES (1998) (0)
Application-Oriented Input Design With Low Coherence Constraint (2022) (0)
Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems (2013) (0)
Piecewise Toeplitz matrices-based sensing for rank minimization (2014) (0)
On Reducing the Coherence in Sparse System Identification (2020) (0)
Analyzing Iterations in Identification with application to Nonparametric H-infinity-norm Estimation (2011) (0)
Spectral matching for parameter estimation in nonlinear input-output models (2001) (0)
Estimation Variance is not Model Structure Independent (1999) (0)
Randomization methods in optimization and adaptive control - Dedicated to Tyrone Duncan on occasion of his 60th birthday (2002) (0)
Weighted Null-Space Fitting for Cascade Networks with Arbitrary Location of Sensors and Excitation Signals (2018) (0)
Signal spectra and conditioning when using orthonormal parameterisation (1999) (0)
Stochastic Approximation for Identification of Non-Linear Differential-Algebraic Equations with Process Disturbances (2022) (0)
An Invariance Principle for Reverse Mixingales (1992) (0)
ARX modeling of unstable Box-Jenkins models (2016) (0)
System identification of complex and structured systems : Part II (2010) (0)
Bayes Control of Hammerstein Systems (2021) (0)

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KTH Royal Institute of Technology

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