Cristian R. Rojas

Autom., 2022

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

[BibT_eX]

[DOI]

Autom., 2022

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

[BibT_eX]

[DOI]

Autom., 2022

Optimal Input Design for Sparse System Identification.

[BibT_eX]

[DOI]

Javad Parsa

Braghadeesh Lakshminarayanan

Proceedings of the European Control Conference, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

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

[BibT_eX]

[DOI]

J. Syst. Sci. Complex., 2021

A teacher-student framework for online correctional learning.

[BibT_eX]

[DOI]

CoRR, 2021

Asymptotically Optimal Bandits under Weighted Information.

[BibT_eX]

[DOI]

CoRR, 2021

Consistency Analysis of the Closed-loop SRIVC Estimator.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

Autom., 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

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

[BibT_eX]

[DOI]

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020

Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Cooperative System Identification via Correctional Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.

[BibT_eX]

[DOI]

Autom., 2020

Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.

[BibT_eX]

[DOI]

Autom., 2020

A Finite-Sample Deviation Bound for Stable Autoregressive Processes.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Iterative H-norm Estimation Using Cyclic-Prefixed Signals.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

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

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Parametric Identification Using Weighted Null-Space Fitting.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2019

On model order priors for Bayesian identification of SISO linear systems.

[BibT_eX]

[DOI]

Thomas B. Schön

Int. J. Control, 2019

Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions.

[BibT_eX]

[DOI]

IEEE Control. Syst. Lett., 2019

What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Autom., 2019

Risk-Coherent H∞-optimal Filter Design Under Model Uncertainty with Applications to MISO Control.

[BibT_eX]

[DOI]

Proceedings of the 17th European Control Conference, 2019

Gain estimation of linear dynamical systems using Thompson Sampling.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

On Adaptive Boosting for System Identification.

[BibT_eX]

[DOI]

Johan Bjurgert

IEEE Trans. Neural Networks Learn. Syst., 2018

Analysis of averages over distributions of Markov processes.

[BibT_eX]

[DOI]

Autom., 2018

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

[BibT_eX]

[DOI]

Autom., 2018

Bayesian Model Selection for Change Point Detection and Clustering.

[BibT_eX]

[DOI]

Othmane Mazhar

Carlo Fischione

Mohammad Reza Hesamzadeh

Proceedings of the 35th International Conference on Machine Learning, 2018

Robust Experiment Design for Virtual Reference Feedback Tuning.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Risk-Theoretical Approach to H2-Optimal Control Under Covert Attacks.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Inverse Filtering for Linear Gaussian State-Space Models.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

An asymptotically optimal indirect approach to continuous-time system identification.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

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

[BibT_eX]

[DOI]

Tom Oomen

Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018

2017

Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Optimal Enforcement of Causality in Non-Parametric Transfer Function Estimation.

[BibT_eX]

[DOI]

Ricardo A. Rojas

IEEE Control. Syst. Lett., 2017

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

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Tom Oomen

CoRR, 2017

Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach.

[BibT_eX]

[DOI]

CoRR, 2017

On robust input design for nonlinear dynamical models.

[BibT_eX]

[DOI]

Johan Dahlin

Thomas B. Schön

Autom., 2017

Variance analysis of linear SIMO models with spatially correlated noise.

[BibT_eX]

[DOI]

Autom., 2017

Cost function shaping of the output error criterion.

[BibT_eX]

[DOI]

Diego Eckhard

Alexandre S. Bazanella

Autom., 2017

Inverse Filtering for Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Data-driven H∞-norm estimation via expert advice.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

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

[BibT_eX]

[DOI]

Alexandre Proutière

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Identification of hidden Markov models using spectral learning with likelihood maximization.

[BibT_eX]

[DOI]

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

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

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Successive Concave Sparsity Approximation for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Accurate Changing Point Detection for ℓ1 Mean Filtering.

[BibT_eX]

[DOI]

Johan Ottersten

IEEE Signal Process. Lett., 2016

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

[BibT_eX]

[DOI]

Magnus Jansson

Massoud Babaie-Zadeh

Signal Process., 2016

Alternating strategies with internal ADMM for low-rank matrix reconstruction.

[BibT_eX]

[DOI]

Signal Process., 2016

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

[BibT_eX]

[DOI]

Eur. J. Control, 2016

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

[BibT_eX]

[DOI]

Paul M. J. Van den Hof

Annu. Rev. Control., 2016

Piecewise sparse signal recovery via piecewise orthogonal matching pursuit.

[BibT_eX]

[DOI]

Karl Henrik Johansson

Shuang Cong

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

[BibT_eX]

[DOI]

Johan Dahlin

Thomas B. Schön

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A weighted least squares method for estimation of unstable systems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Identification of modules in dynamic networks: An empirical Bayes approach.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Application-Oriented Estimator Selection.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Regularization Paths for Re-Weighted Nuclear Norm Minimization.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Bayesian Learning for Low-Rank matrix reconstruction.

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

Robert Mattila

CoRR, 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix.

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

Autom., 2015

On the end-performance metric estimator selection.

[BibT_eX]

[DOI]

Autom., 2015

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

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On experiment design for single carrier and multicarrier systems.

[BibT_eX]

[DOI]

Proceedings of the 14th European Control Conference, 2015

Approximate regularization paths for nuclear norm minimization using singular value bounds.

[BibT_eX]

[DOI]

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

On estimating initial conditions in unstructured models.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On the variance analysis of identified linear MIMO models.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Estimator selection: End-performance metric aspects.

[BibT_eX]

[DOI]

Carolyn L. Beck

Proceedings of the American Control Conference, 2015

2014

Reduced Complexity HMM Filtering With Stochastic Dominance Bounds: A Convex Optimization Approach.

[BibT_eX]

[DOI]

Vikram Krishnamurthy

IEEE Trans. Signal Process., 2014

Iterative Data-Driven ℋ∞ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation.

[BibT_eX]

[DOI]

IEEE Trans. Control. Syst. Technol., 2014

Sparse Estimation of Polynomial and Rational Dynamical Models.

[BibT_eX]

[DOI]

Roland Tóth

IEEE Trans. Autom. Control., 2014

Relevance Singular Vector Machine for low-rank matrix sensing.

[BibT_eX]

[DOI]

CoRR, 2014

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2014

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

[BibT_eX]

[DOI]

CoRR, 2014

Piecewise Toeplitz matrices-based sensing for rank minimization.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

Model structure selection - An update.

[BibT_eX]

[DOI]

Proceedings of the 13th European Control Conference, 2014

A novel input design approach for systems with quantized output data.

[BibT_eX]

[DOI]

Boris I. Godoy

Juan C. Agüero

Brett Ninness

Proceedings of the 13th European Control Conference, 2014

Application set approximation in optimal input design for model predictive control.

[BibT_eX]

[DOI]

Proceedings of the 13th European Control Conference, 2014

A weighted least-squares method for parameter estimation in structured models.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

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

[BibT_eX]

[DOI]

Afrooz Ebadat

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Approximate regularization path for nuclear norm based H2 model reduction.

[BibT_eX]

[DOI]

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

A Note on the SPICE Method.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Frequency smoothing gains in preamble-based channel estimation for multicarrier systems.

[BibT_eX]

[DOI]

Signal Process., 2013

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

[BibT_eX]

[DOI]

EURASIP J. Wirel. Commun. Netw., 2013

Application Set Approximation in Optimal Input Design for Model Predictive Control

[BibT_eX]

[DOI]

CoRR, 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

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

[BibT_eX]

[DOI]

Diego Eckhard

Alexandre S. Bazanella

Autom., 2013

A sparse estimation technique for general model structures.

[BibT_eX]

[DOI]

Proceedings of the 12th European Control Conference, 2013

Model predictive control with integrated experiment design for output error systems.

[BibT_eX]

[DOI]

Proceedings of the 12th European Control Conference, 2013

Optimal input design for non-linear dynamic systems: A graph theory approach.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A geometric approach to variance analysis of cascaded systems.

[BibT_eX]

[DOI]

Niklas Everitt

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Computing monotone policies for Markov decision processes by exploiting sparsity.

[BibT_eX]

[DOI]

Vikram Krishnamurthy

Proceedings of the 2013 Australian Control Conference, Fremantle, WA, 2013

Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2013

Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems.

[BibT_eX]

[DOI]

Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013

2012

Robustness in Experiment Design.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2012

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

[BibT_eX]

[DOI]

Autom., 2012

Generation of amplitude constrained signals with a prescribed spectrum.

[BibT_eX]

[DOI]

Claus Müller

Graham C. Goodwin

Autom., 2012

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

[BibT_eX]

[DOI]

Autom., 2012

A Chernoff convexification for chance constrained MIMO training sequence design.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

On asymptotic frequency response variance expressions for estimated output error models.

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Order and structural dependence selection of LPV-ARX models revisited.

[BibT_eX]

[DOI]

Roland Tóth

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

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

[BibT_eX]

[DOI]

Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011

Transceiver Inphase/Quadrature Imbalance, Ellipse Fitting, and the Universal Software Radio Peripheral.

[BibT_eX]

[DOI]

Per Zetterberg

Peter Händel

IEEE Trans. Instrum. Meas., 2011

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

[BibT_eX]

[DOI]

Autom., 2011

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

[BibT_eX]

[DOI]

Autom., 2011

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

[BibT_eX]

[DOI]

Jonas Mårtensson

Autom., 2011

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

[BibT_eX]

[DOI]

Autom., 2011

Asymptotic statistical analysis for model-based control design strategies.

[BibT_eX]

[DOI]

Autom., 2011

Identifiability of multivariable dynamic errors-in-variables systems.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

On preamble-based channel estimation in OFDM/OQAM systems.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

On optimal input signal design for identification of output error models.

[BibT_eX]

[DOI]

Mariette Annergren

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Chance constrained input design.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Sparse estimation based on a validation criterion.

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

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

[BibT_eX]

[DOI]

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On consistent estimation of farthest NMP zeros of stable LTI systems.

[BibT_eX]

[DOI]

Lirong Huang

Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

On l1 mean and variance filtering.

[BibT_eX]

[DOI]

Mariette Annergren

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

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

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2010

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

[BibT_eX]

[DOI]

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

On optimal input design for nonlinear FIR-type systems.

[BibT_eX]

[DOI]

Christian A. Larsson

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Identification of nonlinear systems using misspecified predictors.

[BibT_eX]

[DOI]

Christian A. Larsson

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Fundamental Limitations on the Variance of Estimated Parametric Models.

[BibT_eX]

[DOI]

Juan C. Agüero

IEEE Trans. Autom. Control., 2009

Finite model order optimal input design for minimum variance control.

[BibT_eX]

[DOI]

Jonas Mårtensson

Proceedings of the 10th European Control Conference, 2009

MIMO experiment design based on asymptotic model order theory.

[BibT_eX]

[DOI]

Roland Hildebrand

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Input design for asymptotic robust H2-filtering.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes.

[BibT_eX]

[DOI]

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Input design using Markov chains for system identification.

[BibT_eX]

[DOI]

Chiara Brighenti

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

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

[BibT_eX]

[DOI]

Juan C. Agüero

Graham C. Goodwin

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

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

[BibT_eX]

[DOI]

Autom., 2008

2007

Robust optimal experiment design for system identification.

[BibT_eX]

[DOI]

Autom., 2007

A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance.

[BibT_eX]

[DOI]