C. Rojas

Håkan Hjalmarsson, Cristian R. Rojas, Per Brunsell, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Input design as a tool to improve the convergence of PEM

Diego Eckhard, Håkan Hjalmarsson, Alexandre S. Bazanella, 2013, Autom..

ROBUST IDENTIFICATION OF PROCESS MODELS FROM PLANT DATA

Graham C. Goodwin, Cristian R. Rojas, Juan I. Yuz, 2008 .

Application-Oriented Finite Sample Experiment Design: A Semidefinite Relaxation Approach

H. Hjalmarsson, C. Rojas, D. Katselis, 2012 .

Generation of amplitude constrained signals with a prescribed spectrum

Graham C. Goodwin, Cristian R. Rojas, Claus Müller, 2012, Autom..

A graph/particle-based method for experiment design in nonlinear systems

P. E. Valenzuela, C. Rojas, T. Schon, 2014, 1403.4044.

The Cost of Complexity in Identification of FIR Systems

Håkan Hjalmarsson, Cristian R. Rojas, James S. Welsh, 2008 .

Identification of nonlinear systems using misspecified predictors

Håkan Hjalmarsson, Cristian R. Rojas, Christian A. Larsson, 2010, 49th IEEE Conference on Decision and Control (CDC).

Sparse estimation based on a validation criterion

Håkan Hjalmarsson, Cristian R. Rojas, H. Hjalmarsson, 2011, IEEE Conference on Decision and Control and European Control Conference.

Variance analysis of linear SIMO models with spatially correlated noise

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2015, Autom..

On the convergence of the Prediction Error Method to its global minimum

H. Hjalmarsson, C. Rojas, D. Eckhard, 2012 .

Consistent estimation of real NMP zeros in stable LTI systems of arbitrary complexity

H. Hjalmarsson, C. Rojas, L. Gerencsér, 2009 .

Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives

Håkan Hjalmarsson, Xavier Bombois, Cristian R. Rojas, 2016, Annu. Rev. Control..

Open-cut Mine Planning via Closed-loop Receding-horizon Optimal Control

Graham C. Goodwin, Cristian R. Rojas, Maria M. Seron, 2007 .

Iterative Data-Driven ${\cal H}_{\infty}$ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation

Håkan Hjalmarsson, Cristian R. Rojas, Tom Oomen, 2014, IEEE Transactions on Control Systems Technology.

Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility pdf

Cristian R. Rojas, Tom Oomen, C. Rojas, 2017, ArXiv.

Accurate Changing Point Detection for ${\ell _1}$ Mean Filtering

B. Wahlberg, C. Rojas, Johan Ottersten, 2016, IEEE Signal Processing Letters.

Analyzing Iterations in Identication with Application to NonparametricH 1 -norm Estimation

C. Rojas, 2012 .

Agraph theoretical approach to inputdesign for identificationof nonlinear dynamicalmodels

P. E. Valenzuela, H. Hjalmarsson, C. Rojas, 2014 .

Onrobust input design for nonlinear dynamicalmodels ?

P. E. Valenzuela, Thomas Bo Schön, C. Rojas, 2016 .

Generation ofAmplitudeConstrainedSignalswith a PrescribedSpectrum

G. Goodwin, C. Rojas, Claus Müller, 2011 .

Least squares end performance experiment design in multicarrier systems: The sparse preamble case

H. Hjalmarsson, C. Rojas, D. Katselis, 2014, 2014 European Control Conference (ECC).

Analyzing Iterations in Identification with Application to Nonparametric $mathcal{H}_infty$-Norm Estimation

H. Hjalmarsson, B. Wahlberg, C. Rojas, 2011 .

Analyzing Iterations in Identification with Application to Nonparametric H∞-norm Estimation

H. Hjalmarsson, B. Wahlberg, C. Rojas, 2011 .

Frequency localising basis functions for wide-band system identification: A condition number bound for Output Error systems

C. Rojas, J. Welsh, 2007, 2007 European Control Conference (ECC).

Decentralized and Wireless Control of Large-Scale Systems

C. Rojas, 2008 .

On State-Space Representations of General Discrete-Time Dynamical Systems

C. Rojas, P. Wachel, Paweł Wachel, 2022, IEEE Transactions on Automatic Control.

Convergence and Variance Analysis of Semi-Parametric Weighted Null-Space Fitting

H. Hjalmarsson, C. Rojas, Miguel Galrinho, 2017 .

Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models

Rodrigo A. González, C. Rojas, J. Welsh, 2022, Automatica.

A practical approach to input design for modal analysis using subspace methods

C. Rojas, K. Olofsson, K. Olofsson, 2012 .

Inputdesignas a tool to improve the convergenceofPEM ⋆

H. Hjalmarsson, C. Rojas, D. Eckhard, 2016 .

J ul 2 01 5 Estimator Selection : End-Performance Metric Aspects ∗

Carolyn L. Beck, C. Rojas, C. Beck, 2015 .

Predictor-based multivariable closed-loop system identification of the EXTRAP T2R reversed field pinch external plasma response

H. Hjalmarsson, C. Rojas, K. Olofsson, 2011 .

Finite impulse response models: A non-asymptotic analysis of the least squares estimator

C. Rojas, Boualem Djehiche, Othmane Mazhar, 2019, Bernoulli.

Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective

C. Rojas, P. Papapetrou, Rami Mochaourab, 2022, IEEE Signal Processing Magazine.

Journal of Advances in Applied & Computational Mathematics An Adversarial Approach to Adaptive Model Predictive Control #

C. Rojas, P. Wachel, Paweł Wachel, 2022 .

A Unified Approach to Differentially Private Bayes Point Estimation

C. Rojas, Braghadeesh Lakshminarayanan, 2022, IFAC-PapersOnLine.

On the Properties of Iterative Schemes

Bo Wahlberg, Cristian R. Rojas, Håkan Hjalmarsson, 2010 .

Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection

Bo Wahlberg, Cristian R. Rojas, Robert Mattila, 2021, Journal of Systems Science and Complexity.

A Markov Chain Approach to Compute the ℓ2-gain of Nonlinear Systems

Cristian R. Rojas, Matias I. Müller, Matias I. Müller, 2018 .

Gain estimation of linear dynamical systems using Thompson Sampling

Cristian R. Rojas, Matias I. Müller, Matias I. Müller, 2019, AISTATS.

System identification: A Wiener-Hammerstein benchmark

Daniel E. Rivera, Cristian R. Rojas, Håkan Hjalmarsson, 2012 .

A stochastic multi-armed bandit approach to nonparametric H∞-norm estimation

Alexandre Proutière, Cristian R. Rojas, Matias I. Müller, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method

Rodrigo A. González, C. Rojas, J. Welsh, 2022, Autom..

A Note on the SPICE Method

Håkan Hjalmarsson, Cristian R. Rojas, Dimitrios Katselis, 2012, IEEE Transactions on Signal Processing.

On robust input design for nonlinear dynamical models

Johan Dahlin, Thomas B. Schön, Cristian R. Rojas, 2017, Autom..

An application-oriented approach to dual control with excitation for closed-loop identification

Afrooz Ebadat, Håkan Hjalmarsson, Xavier Bombois, 2016, Eur. J. Control.

On experiment design for single carrier and multicarrier systems

Cristian R. Rojas, Boris I. Godoy, Dimitrios Katselis, 2015, 2015 European Control Conference (ECC).

A graph theoretical approach to input design for identification of nonlinear dynamical models

Håkan Hjalmarsson, Cristian R. Rojas, Patricio E. Valenzuela, 2015, Autom..

A novel input design approach for systems with quantized output data

Brett Ninness, Cristian R. Rojas, Boris I. Godoy, 2014, 2014 European Control Conference (ECC).

Applications Oriented Input Design in Time-Domain Through Cyclic Methods pdf

Afrooz Ebadat, Bo Wahlberg, Håkan Hjalmarsson, 2014, ArXiv.

Robust Experiment Design for System Identification via Semi-Infinite Programming Techniques

Håkan Hjalmarsson, Cristian R. Rojas, Dimitrios Katselis, 2012 .

Robustness in Experiment Design

Graham C. Goodwin, Cristian R. Rojas, Juan C. Agüero, 2012, IEEE Transactions on Automatic Control.

A Tutorial on Applications-Oriented Optimal Experiment Design

Håkan Hjalmarsson, Jonas Mårtensson, Cristian R. Rojas, 2012 .

The cost of complexity in system identification: The Output Error case

Håkan Hjalmarsson, Cristian R. Rojas, Märta Barenthin Syberg, 2011, Autom..

Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller

Håkan Hjalmarsson, Cristian R. Rojas, Jonas Mårtensson, 2011, Autom..

On optimal input design for nonlinear FIR-type systems

Håkan Hjalmarsson, Cristian R. Rojas, Christian A. Larsson, 2010, 49th IEEE Conference on Decision and Control (CDC).

The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems

Håkan Hjalmarsson, Cristian R. Rojas, Märta Barenthin Syberg, 2010, IEEE Transactions on Automatic Control.

MIMO experiment design based on asymptotic model order theory

Håkan Hjalmarsson, Cristian R. Rojas, Roland Hildebrand, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Finite model order optimal input design for minimum variance control

Håkan Hjalmarsson, Cristian R. Rojas, Jonas Mårtensson, 2009, 2009 European Control Conference (ECC).

A Scenario Based Approach to Robust Experiment Design

James S. Welsh, Cristian R. Rojas, C. Rojas, 2009 .

On the equivalence of least costly and traditional experiment design for control

Graham C. Goodwin, Cristian R. Rojas, Juan C. Agüero, 2008, Autom..

Optimal experiment design with diffuse prior information

Graham C. Goodwin, James S. Welsh, Arie Feuer, 2007, 2007 European Control Conference (ECC).

Robust optimal experiment design for system identification

Graham C. Goodwin, Cristian R. Rojas, James S. Welsh, 2007, Autom..

Good, Bad and Optimal Experiments for Identification

Graham C. Goodwin, James S. Welsh, Cristian R. Rojas, 2006 .

An analysis of the SPARSEVA estimate for the finite sample data case

Bo Wahlberg, Cristian R. Rojas, James S. Welsh, 2017, Autom..

Reweighted nuclear norm regularization: A SPARSEVA approach

Bo Wahlberg, Cristian R. Rojas, James S. Welsh, 2015, 1507.05718.

A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation

C. Rojas, Braghadeesh Lakshminarayanan, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Fundamental Limitations on the Variance of Estimated Parametric Models

Cristian R. Rojas, Juan C. Agüero, James S. Welsh, 2009, IEEE Transactions on Automatic Control.

Sparse Estimation of Polynomial and Rational Dynamical Models

Håkan Hjalmarsson, Cristian R. Rojas, Roland Tóth, 2014, IEEE Transactions on Automatic Control.

Disturbance Handling in Economic Model Predictive Control

C. Rojas, E. W. Jacobsen, Olle Trollberg, 2016 .

A Finite-Sample Deviation Bound for Stable Autoregressive Processes

Cristian R. Rojas, Rodrigo A. Gonz'alez, Rodrigo A. Gonz'alez, 2019, L4DC.

On estimating initial conditions in unstructured models

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Input design using Markov chains for system identification

Bo Wahlberg, Cristian R. Rojas, Chiara Brighenti, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Equivalence between transfer-matrix and observed-state feedback control

Cristian R. Rojas, Mario E. Salgado, Ricardo A. Rojas, 2006 .

Data-Driven Input-Passivity Estimation Using Power Iterations

Frank Allgöwer, Cristian R. Rojas, Matias I. Müller, 2021, IFAC-PapersOnLine.

Consistent identification of continuous-time systems under multisine input signal excitation

Cristian R. Rojas, James S. Welsh, Siqi Pan, 2020, Autom..

Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

Cristian R. Rojas, James S. Welsh, Siqi Pan, 2019, Autom..

Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems

James S. Welsh, Cristian R. Rojas, Siqi Pan, 2019, Autom..

Bayesian Model Selection for Change Point Detection and Clustering

Carlo Fischione, Mohammad Reza Hesamzadeh, Cristian Rojas, 2018, ICML.

A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering

Bo Wahlberg, Cristian R. Rojas, Mohammadreza Malek-Mohammadi, 2016, IEEE Transactions on Signal Processing.

Accurate Changing Point Detection for ℓ1 Mean Filtering

Bo Wahlberg, Cristian R. Rojas, Johan Ottersten, 2016, IEEE Signal Process. Lett..

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

Graham C. Goodwin, Cristian R. Rojas, Håkan Hjalmarsson, 2012, Autom..

Asymptotic statistical analysis for model-based control design strategies

Cristian R. Rojas, Boris I. Godoy, Alicia Esparza, 2011, Autom..

Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes

Cristian R. Rojas, Rodrigo A. Gonz'alez, Rodrigo A. Gonz'alez, 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimal Enforcement of Causality in Non-Parametric Transfer Function Estimation

Cristian R. Rojas, Rodrigo A. González, P. E. Valenzuela, 2017, IEEE Control Systems Letters.

On the end-performance metric estimator selection

Cristian R. Rojas, Boris I. Godoy, Dimitrios Katselis, 2015, Autom..

Estimator selection: End-performance metric aspects

Cristian R. Rojas, Dimitrios Katselis, Carolyn L. Beck, 2015, 2015 American Control Conference (ACC).

Application-Oriented Estimator Selection

Cristian R. Rojas, Dimitrios Katselis, C. Rojas, 2015, IEEE Signal Processing Letters.

Training sequence design for MIMO channels: an application-oriented approach

Emil Björnson, Håkan Hjalmarsson, Xavier Bombois, 2013, EURASIP J. Wirel. Commun. Netw..

A Chernoff relaxation on the problem of application-oriented finite sample experiment design

Håkan Hjalmarsson, Cristian R. Rojas, Mats Bengtsson, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

A Chernoff convexification for chance constrained MIMO training sequence design

Håkan Hjalmarsson, Cristian R. Rojas, Mats Bengtsson, 2012, 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).

Optimal experiment design for hypothesis testing applied to functional magnetic resonance imaging

Håkan Hjalmarsson, P.M.J. Van den Hof, Xavier Bombois, 2011 .

On model order priors for Bayesian identification of SISO linear systems

Thomas B. Schön, Cristian R. Rojas, Patricio E. Valenzuela, 2019, Int. J. Control.

Regularization Paths for Re-Weighted Nuclear Norm Minimization

Bo Wahlberg, Cristian R. Rojas, Niklas Blomberg, 2015, IEEE Signal Processing Letters.

Identication of a Class of Nonlinear Dynamical Networks

Håkan Hjalmarsson, Cristian R. Rojas, Mohamed Abdalmoaty, 2018 .

Model predictive control with integrated experiment design for output error systems

Håkan Hjalmarsson, Xavier Bombois, Ali Mesbah, 2013, 2013 European Control Conference (ECC).

Cost function shaping of the output error criterion

Diego Eckhard, Håkan Hjalmarsson, Alexandre S. Bazanella, 2017, Autom..

ROBUST IDENTIFICATION OF PROCESS MODELS FROM PLANT DATA

Graham C. Goodwin, Cristian R. Rojas, Juan I. Yuz, 2008 .

Identifiability of multivariable dynamic errors-in-variables systems

Cristian R. Rojas, C. Rojas, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

On the accuracy in errors-in-variables identification compared to prediction-error identification

Torsten Söderström, Håkan Hjalmarsson, Cristian R. Rojas, 2011, Autom..

Fundamental limitations on the accuracy of MIMO linear models obtained by PEM for systems operating in open loop

Graham C. Goodwin, Cristian R. Rojas, Juan C. Agüero, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Particle-based Gaussian process optimization for input design in nonlinear dynamical models

Johan Dahlin, Thomas B. Schön, Cristian R. Rojas, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Model Predictive Control oriented experiment design for system identification: A graph theoretical approach

Afrooz Ebadat, Bo Wahlberg, Cristian R. Rojas, 2017 .

On consistent estimation of farthest NMP zeros of stable LTI systems

Håkan Hjalmarsson, Cristian R. Rojas, Lirong Huang, 2011, IEEE Conference on Decision and Control and European Control Conference.

Input design for asymptotic robust H2-filtering

Håkan Hjalmarsson, Cristian R. Rojas, H. Hjalmarsson, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning

B. Wahlberg, C. Rojas, Inês Lourenço, 2023, ArXiv.

Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion

Håkan Hjalmarsson, Cristian R. Rojas, Per Brunsell, 2010, 49th IEEE Conference on Decision and Control (CDC).

On change point detection using the fused lasso method

B. Wahlberg, C. Rojas, 2014, 1401.5408.

How to monitor and mitigate stair-casing in L1 trend filtering

Bo Wahlberg, Cristian R. Rojas, B. Wahlberg, 2014, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification

Angel L. Cedeño, C. Rojas, J. C. Agüero, 2023, IFAC-PapersOnLine.

Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach

C. Rojas, J. Welsh, Siqi Pan, 2023, ArXiv.

An asymptotically optimal indirect approach to continuous-time system identification

Rodrigo A. González, Rodrigo A. Gonzalez, Cristian R. Rojas, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Parametric Identification Using Weighted Null-Space Fitting

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2017, IEEE Transactions on Automatic Control.

The Weighted Null-Space Fitting Method

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2017 .

Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification pdf

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2017, ArXiv.

Identification of modules in dynamic networks: An empirical Bayes approach

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Evaluation of Spectral Learning for the Identification of Hidden Markov Models pdf

Bo Wahlberg, Cristian R. Rojas, Robert Mattila, 2015, ArXiv.

Applications oriented input design for closed-loop system identification: a graph-theory approach

Afrooz Ebadat, Bo Wahlberg, Håkan Hjalmarsson, 2014, 53rd IEEE Conference on Decision and Control.

Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation

Håkan Hjalmarsson, Cristian R. Rojas, Per Brunsell, 2011, IEEE Conference on Decision and Control and European Control Conference.

Uncertainty in system identification: learning from the theory of risk

Cristian R. Rojas, Håkan Hjalmarsson, Patricio E. Valenzuela, 2015 .

A Least Squares Method for Identification of Feedback Cascade Systems

Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson, 2015 .

Successive Concave Sparsity Approximation for Compressed Sensing

Massoud Babaie-Zadeh, Cristian R. Rojas, Ali Koochakzadeh, 2015, IEEE Transactions on Signal Processing.

Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels pdf

Massoud Babaie-Zadeh, Cristian R. Rojas, Ali Koochakzadeh, 2015, ArXiv.

Robust Experiment Design for Virtual Reference Feedback Tuning

Sergio M. Savaresi, Gianmarco Rallo, Simone Formentin, 2018, 2018 IEEE Conference on Decision and Control (CDC).

How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making

Bo Wahlberg, Cristian R. Rojas, Robert Mattila, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Online constraint adaptation in economic model predictive control

Cristian R. Rojas, Elling W. Jacobsen, Olle Trollberg, 2017 .

Sparse iterative learning control (SPILC): When to sample for resource-efficiency?

Cristian R. Rojas, Tom Oomen, C. Rojas, 2018, 2018 IEEE 15th International Workshop on Advanced Motion Control (AMC).

Enforcing stability through ellipsoidal inner approximations in the indirect approach for continuous-time system identification

Cristian R. Rojas, Rodrigo A. González, S. WelshJames, 2020 .

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit

Karl Henrik Johansson, Shuang Cong, Håkan Hjalmarsson, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Approximate regularization paths for nuclear norm minimization using singular value bounds

Bo Wahlberg, Niklas Blomberg, C. R. Rojas, 2015, 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE).

Upper bounds on the error of sparse vector and low-rank matrix recovery

Massoud Babaie-Zadeh, Cristian R. Rojas, Mohammadreza Malek-Mohammadi, 2015, Signal Process..

Relevance singular vector machine for low-rank matrix sensing

Cristian R. Rojas, Magnus Jansson, Saikat Chatterjee, 2014, 2014 International Conference on Signal Processing and Communications (SPCOM).

The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop

Rodrigo A. González, C. Rojas, J. Welsh, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations pdf

Cristian R. Rojas, Rodrigo A. Gonz'alez, Hrakan Hjalmarsson, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

A Risk-Theoretical Approach to $\mathcal{H}_{2}$-Optimal Control Under Covert Attacks

Henrik Sandberg, Cristian R. Rojas, Matias I. Müller, 2018, 2018 IEEE Conference on Decision and Control (CDC).

On the Design of Channel Estimators for given Signal Estimators and Detectors pdf

Mikael Skoglund, Håkan Hjalmarsson, Cristian R. Rojas, 2013, ArXiv.

Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems

Håkan Hjalmarsson, Cristian R. Rojas, Dimitrios Katselis, 2013, ALCOSP.

Sparse Estimation Techniques for Basis Function Selection in Wideband System Identification

Bo Wahlberg, Cristian R. Rojas, Håkan Hjalmarsson, 2012 .

DRCFS: Doubly Robust Causal Feature Selection

C. Rojas, Stefan Bauer, Ashkan Soleymani, 2023, ICML.

Coherence-Based Input Design for Nonlinear Systems

H. Hjalmarsson, C. Rojas, J. Parsa, 2023, IEEE Control Systems Letters.

Application-Oriented Input Design With Low Coherence Constraint

H. Hjalmarsson, C. Rojas, J. Parsa, 2022, IEEE Control Systems Letters.

Decentralized diffusion-based learning under non-parametric limited prior knowledge

C. Rojas, Paweł Wachel, Krzysztof Kowalczyk, 2023, ArXiv.

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models

Bo Wahlberg, Cristian R. Rojas, Vikram Krishnamurthy, 2017, IEEE Signal Processing Letters.

An Adversarial Approach to Adaptive Model Predictive Control

C. Rojas, P. Wachel, Cristian Rojas, 2022, Journal of Advances in Applied & Computational Mathematics.

Iterative H-norm Estimation Using Cyclic-Prefixed Signals

Cristian R. Rojas, Matias I. Müller, C. Rojas, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations

Matias I. Müller, C. Rojas, 2022, Autom..

A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning*

B. Wahlberg, C. Rojas, Inês Lourenço, 2021, 2022 IEEE 61st Conference on Decision and Control (CDC).

Data-driven H∞-norm estimation via expert advice

Sergio M. Savaresi, Gianmarco Rallo, Simone Formentin, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

On asymptotic frequency response variance expressions for estimated output error models

Bo Wahlberg, Cristian R. Rojas, B. Wahlberg, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Optimal Transport for Correctional Learning

B. Wahlberg, C. Rojas, Inês Lourenço, 2023, ArXiv.

Cooperative System Identification via Correctional Learning pdf

Bo Wahlberg, Cristian R. Rojas, Robert Mattila, 2020, IFAC-PapersOnLine.

Risk-Coherent $\mathcal{H}_{\infty}$ -optimal Filter Design Under Model Uncertainty with Applications to MISO Control

Cristian R. Rojas, Matias I. Müller, C. Rojas, 2019, 2019 18th European Control Conference (ECC).

On Adaptive Boosting for System Identification

Cristian R. Rojas, Johan Bjurgert, P. E. Valenzuela, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2017, Autom..

A weighted least squares method for estimation of unstable systems

Håkan Hjalmarsson, Miguel Galrinho, Cristian R. Rojas, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

On the variance analysis of identified linear MIMO models

Giulio Bottegal, Håkan Hjalmarsson, Cristian R. Rojas, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Experimental evaluation of model predictive control with excitation (MPC-X) on an industrial depropanizer

Håkan Hjalmarsson, Cristian R. Rojas, Christian A. Larsson, 2015 .

Model structure selection — An update

Håkan Hjalmarsson, Cristian R. Rojas, H. Hjalmarsson, 2014, 2014 European Control Conference (ECC).

A sparse estimation technique for general model structures

Bo Wahlberg, Håkan Hjalmarsson, Cristian R. Rojas, 2013, 2013 European Control Conference (ECC).

A geometric approach to variance analysis of cascaded systems

Håkan Hjalmarsson, Cristian R. Rojas, Niklas Everitt, 2013, 52nd IEEE Conference on Decision and Control.

Application set approximation in optimal input design for model predictive control

Afrooz Ebadat, Bo Wahlberg, Cristian R. Rojas, 2013, 2014 European Control Conference (ECC).

Analyzing iterations in identification with application to nonparametric H∞-norm estimation

Bo Wahlberg, Håkan Hjalmarsson, Cristian R. Rojas, 2012, Autom..

Mean-Squared Error Experiment Design for Linear Regression Models

Diego Eckhard, Håkan Hjalmarsson, Michel Gevers, 2012 .

Chance constrained input design

Håkan Hjalmarsson, Cristian R. Rojas, Mats Bengtsson, 2011, IEEE Conference on Decision and Control and European Control Conference.

On optimal input signal design for identification of output error models

Bo Wahlberg, Cristian R. Rojas, Mariette Annergren, 2011, IEEE Conference on Decision and Control and European Control Conference.

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

Håkan Hjalmarsson, László Gerencsér, Cristian R. Rojas, 2011, Autom..

Fundamental Limitations on the Variance of Estimated Parametric Models

C. Rojas, J. Welsh, J. C. Agüero, 2009, IEEE Transactions on Automatic Control.

Asymptotically Optimal Bandits under Weighted Information pdf

Cristian R. Rojas, Matias I. Müller, C. Rojas, 2021, ArXiv.

DRCFS: Doubly Robust Causal Feature Selection

C. Rojas, Stefan Bauer, Ashkan Soleymani, 2023, ICML.

Sparse Estimation of Polynomial and Rational

Håkan Hjalmarsson, Cristian R. Rojas, Roland Toth, 2014 .

Sparse estimation of polynomial dynamical models

Håkan Hjalmarsson, Cristian R. Rojas, Roland Toth, 2012 .

Analysis of averages over distributions of Markov processes

Håkan Hjalmarsson, Cristian R. Rojas, Patricio E. Valenzuela, 2018, Autom..

Collaborative Project Small-medium-scale focused

C. Rojas, 2010 .