H̊akan Hjalmarsson
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Systems Engineering
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Engineering
H̊akan Hjalmarsson's Degrees
- PhD Control Engineering Chalmers University of Technology
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(Suggest an Edit or Addition)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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What Schools Are Affiliated With H̊akan Hjalmarsson?
H̊akan Hjalmarsson is affiliated with the following schools: