Cristian R. Rojas
Orcid: 0000-0003-0355-2663
According to our database1,
Cristian R. Rojas
authored at least 167 papers
between 2007 and 2024.
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Bibliography
2024
IEEE Trans. Autom. Control., May, 2024
Eur. J. Control, January, 2024
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification.
IEEE Control. Syst. Lett., 2024
A Weighted Least-Squares Method for Non-Asymptotic Identification of Markov Parameters from Multiple Trajectories.
CoRR, 2024
CoRR, 2024
Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices.
Autom., 2024
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop.
Autom., 2024
Proceedings of the Computational Science - ICCS 2024, 2024
Proceedings of the European Control Conference, 2024
2023
Refined instrumental variable methods for unstable continuous-time systems in closed-loop.
Int. J. Control, October, 2023
IEEE Control. Syst. Lett., 2023
On the Relation Between Discrete and Continuous-Time Refined Instrumental Variable Methods.
IEEE Control. Syst. Lett., 2023
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning.
CoRR, 2023
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification.
CoRR, 2023
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
2022
IEEE Trans. Autom. Control., 2022
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective.
IEEE Signal Process. Mag., 2022
Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method.
Autom., 2022
Corrigendum to "Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems" [Automatica 113 (2020) 108767].
Autom., 2022
Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations.
Autom., 2022
Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models.
Autom., 2022
Proceedings of the European Control Conference, 2022
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning<sup>*</sup>.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
J. Syst. Sci. Complex., 2021
Consistent identification of continuous-time systems under multisine input signal excitation.
Autom., 2021
The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop.
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.
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.
IEEE Trans. Signal Process., 2020
Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.
Autom., 2020
Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems.
Autom., 2020
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.
Proceedings of the 37th International Conference on Machine Learning, 2020
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
2019
IEEE Trans. Autom. Control., 2019
Int. J. Control, 2019
IEEE Control. Syst. Lett., 2019
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems.
CoRR, 2019
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting.
Autom., 2019
Risk-Coherent H<sub>∞</sub>-optimal Filter Design Under Model Uncertainty with Applications to MISO Control.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
IEEE Trans. Neural Networks Learn. Syst., 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
An asymptotically optimal indirect approach to continuous-time system identification.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Proceedings of the IEEE 15th International Workshop on Advanced Motion Control, 2018
2017
IEEE Signal Process. Lett., 2017
IEEE Control. Syst. Lett., 2017
CoRR, 2017
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility.
CoRR, 2017
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach.
CoRR, 2017
Autom., 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Identification of hidden Markov models using spectral learning with likelihood maximization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
2016
IEEE Trans. Signal Process., 2016
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering.
IEEE Trans. Signal Process., 2016
IEEE Trans. Signal Process., 2016
IEEE Signal Process. Lett., 2016
Signal Process., 2016
Signal Process., 2016
An application-oriented approach to dual control with excitation for closed-loop identification.
Eur. J. Control, 2016
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives.
Annu. Rev. Control., 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Particle-based Gaussian process optimization for input design in nonlinear dynamical models.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
IEEE Signal Process. Lett., 2015
CoRR, 2015
Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels.
CoRR, 2015
Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix.
CoRR, 2015
A graph theoretical approach to input design for identification of nonlinear dynamical models.
Autom., 2015
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
Proceedings of the 14th European Control Conference, 2015
Approximate regularization paths for nuclear norm minimization using singular value bounds.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
2014
Reduced Complexity HMM Filtering With Stochastic Dominance Bounds: A Convex Optimization Approach.
IEEE Trans. Signal Process., 2014
Iterative Data-Driven ℋ<sub>∞</sub> Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation.
IEEE Trans. Control. Syst. Technol., 2014
IEEE Trans. Autom. Control., 2014
Proceedings of the 22nd European Signal Processing Conference, 2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 13th European Control Conference, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Applications oriented input design for closed-loop system identification: a graph-theory approach.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Frequency smoothing gains in preamble-based channel estimation for multicarrier systems.
Signal Process., 2013
EURASIP J. Wirel. Commun. Netw., 2013
CoRR, 2013
CoRR, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
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.
Proceedings of the American Control Conference, 2013
Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems.
Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, 2013
2012
Analyzing iterations in identification with application to nonparametric H<sub>∞</sub>-norm estimation.
Autom., 2012
Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation.
Autom., 2012
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.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
A Chernoff relaxation on the problem of application-oriented finite sample experiment design.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2011
Transceiver Inphase/Quadrature Imbalance, Ellipse Fitting, and the Universal Software Radio Peripheral.
IEEE Trans. Instrum. Meas., 2011
An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems.
Autom., 2011
Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller.
Autom., 2011
On the accuracy in errors-in-variables identification compared to prediction-error identification.
Autom., 2011
Autom., 2011
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011
Proceedings of the 19th European Signal Processing Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
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.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
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.
IEEE Trans. Autom. Control., 2010
Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
IEEE Trans. Autom. Control., 2009
Proceedings of the 10th European Control Conference, 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
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.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
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.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Autom., 2008
2007
A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance.
Proceedings of the American Control Conference, 2007