Håkan Hjalmarsson
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Identication and Control: Joint Input Design and $H_ınfty$ State Feedback with Ellipsoidal Parametric Uncertainty via LMIs
Identication and Control: Joint Input Design and $H_ınfty$ State Feedback with Ellipsoidal Parametric Uncertainty via LMIs
Closed loop experiment design for linear time invariant dynamical systems via LMIs
Closed loop experiment design for linear time invariant dynamical systems via LMIs
Least-squares estimation of a class of frequency functions: A finite sample variance expression
Variance Analysis in SISO Linear Systems Identification
$L_2$ and $L_ınfty$ methods in identification
Finite sample input design for linearly parameterized models subject to frequency domain constraints
Making retransmission delays in wireless links friendlier to TCP
Round trip time estimation in communication networks using adpative Kalman filtering
Experiment design and identification for control
A Geometric Approach to Variance Analysis in System Identification
How to make bias and variance errors insensitive to system and model complexity in identification
D3.1. Methodologies for identification and model management of large-scale systems
Variance error quantifications for identified poles and zeros
Finite Model Order Optimal Input Design for Minimum Variance Control
Identification of ARX systems with non-stationary inputs - asymptotic analysis with application to adaptive input design
A Geometric Approach to Variance Analysis in System Identification
Variance Analysis in SISO Linear Systems Identification
The cost of complexity in identification of FIR systems
Adaptive input design for ARX systems
Optimal Input Design for Identification of Non-Linear Systems: Learning from the Linear Case
Closed Loop Aspects of Fluid Flow Model Identification in Congestion Control
Gain Estimation for Hammerstein Systems
Mixed $H_2$ and $H_ınfty$ Input Design for Multivariable Systems
On Optimal Input Design in System Identification
On Some Robustness Issues in Input Design
Robust Input Design Using Sum of Squares Constraints
Towards accurate congestion control models: Validation and stability analysis
Adaptive input design in system identification
Exact quantification of the variance of estimated zeros
Identification and Control: Joint Input Design and $H_ınfty$ State Feedback with Ellipsoidal Parametric Uncertainty
Local analysis of structural limitations of network congestion control
From experiment design to closed loop control
Analysis of the Variability of Joint Input-Output Estimation Methods
On the Frequency Domain Accuracy of Closed Loop Estimates
An exact finite sample variance expression for a class of frequency function estimates
Convex computation of worst-case criteria with applications in identification and control
Making retransmission delays in wireless links friendlier to TCP
Mixed $mathcal H_ınfty$ and $mathcal H_2$ input design
A framework for mixed $mathcal H_ınfty$ and $mathcal H_2$ input design
Some Modeling and Estimation Issues in Control of Heterogeneous Networks
Gradient approximations in Iterative Feedback Tuning of Multivariable Processes
Identification of performance limitations using general SISO structures
The Effect of Regularisation on Variance Error
Variance Error Quantifications that are Exact for Finite Model Order
Special section on algorithms and applications of Iterative Feedback Tuning
Identification for control: $L_2$ and $L_ınfty$ methods
Identification for control: Adaptive input design using convex optimization
Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion
Control Relevant Identification of Nonlinear Systems using Linear Models
Higher Order Cumulant based Parameter Estimation in Nonlinear Time Series Models
Inversion of Nonlinear Stochastic Models for the Purpose of Parameter Estimation
Inversion of nonlinear stochastic models for parameter estimation
Spectral based parameter estimation in nonlinear stochastic models
Parameter Estimation in Partitioned Nonlinear Stochastic Models
Assessing Model Quality from Data
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