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Cristian R. Rojas
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2020 – today
- 2025
- [j67]Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen:
Identification of additive continuous-time systems in open and closed loop. Autom. 173: 112013 (2025) - 2024
- [j66]Tom Oomen, Cristian R. Rojas:
Reset-free data-driven gain estimation: Power iteration using reversed-circulant matrices. Autom. 161: 111505 (2024) - [j65]Rodrigo A. González
, Siqi Pan, Cristian R. Rojas, James S. Welsh:
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop. Autom. 166: 111697 (2024) - [j64]Rodrigo A. González
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-Time System Identification. IEEE Control. Syst. Lett. 8: 388-393 (2024) - [j63]Rodrigo A. González
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency. IEEE Control. Syst. Lett. 8: 2415-2420 (2024) - [j62]Pawel Wachel
Decentralized diffusion-based learning under non-parametric limited prior knowledge. Eur. J. Control 75: 100912 (2024) - [j61]Javad Parsa
Transformation of Regressors for Low Coherent Sparse System Identification. IEEE Trans. Autom. Control. 69(5): 2947-2962 (2024) - [c78]Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. Allerton 2024: 1-6 - [c77]Federico Dettù, Braghadeesh Lakshminarayanan, Simone Formentin, Cristian R. Rojas:
From Data to Control: A Two-Stage Simulation-Based Approach. ECC 2024: 3428-3433 - [c76]Krzysztof Kowalczyk
Kernel-Based Learning with Guarantees for Multi-agent Applications. ICCS (3) 2024: 479-487 - [c75]Pedro J. Zufiria, Ignacio Fernández-Sánchez-Pascuala, Cristian R. Rojas:
Multicriteria Model-Agnostic Counterfactual Explainability for Classifiers. IJCNN 2024: 1-8 - [i57]Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh
Identification of Additive Continuous-time Systems in Open and Closed-loop. CoRR abs/2401.01263 (2024) - [i56]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson:
Coherence-based Input Design for Sparse System Identification. CoRR abs/2402.06048 (2024) - [i55]Rodrigo A. González, Siqi Pan, Cristian R. Rojas, James S. Welsh:
Consistency analysis of refined instrumental variable methods for continuous-time system identification in closed-loop. CoRR abs/2404.08955 (2024) - [i54]Rodrigo A. González, Koen Classens, Cristian R. Rojas, James S. Welsh, Tom Oomen:
Statistical Analysis of Block Coordinate Descent Algorithms for Linear Continuous-time System Identification. CoRR abs/2404.09071 (2024) - [i53]Krzysztof Kowalczyk, Pawel Wachel, Cristian R. Rojas:
Kernel-based learning with guarantees for multi-agent applications. CoRR abs/2404.09708 (2024) - [i52]Jiabao He, Ingvar M. Ziemann, Cristian R. Rojas, Håkan Hjalmarsson:
Finite Sample Analysis for a Class of Subspace Identification Methods. CoRR abs/2404.17331 (2024) - [i51]Jiabao He, Cristian R. Rojas, Håkan Hjalmarsson:
Weighted Least-Squares PARSIM. CoRR abs/2405.04250 (2024) - [i50]Jiabao He, Cristian R. Rojas, Håkan Hjalmarsson:
A Weighted Least-Squares Method for Non-Asymptotic Identification of Markov Parameters from Multiple Trajectories. CoRR abs/2405.04258 (2024) - [i49]Vikram Krishnamurthy, Cristian R. Rojas:
Slow Convergence of Interacting Kalman Filters in Word-of-Mouth Social Learning. CoRR abs/2410.08447 (2024) - [i48]Rodrigo A. González, Max van Haren, Tom Oomen, Cristian R. Rojas:
Sampling in Parametric and Nonparametric System Identification: Aliasing, Input Conditions, and Consistency. CoRR abs/2410.19629 (2024) - 2023
- [j60]Javad Parsa
Application-Oriented Input Design With Low Coherence Constraint. IEEE Control. Syst. Lett. 7: 193-198 (2023) - [j59]Rodrigo A. González
On the Relation Between Discrete and Continuous-Time Refined Instrumental Variable Methods. IEEE Control. Syst. Lett. 7: 2233-2238 (2023) - [j58]Javad Parsa
Coherence-Based Input Design for Nonlinear Systems. IEEE Control. Syst. Lett. 7: 2934-2939 (2023) - [j57]Rodrigo A. González
Refined instrumental variable methods for unstable continuous-time systems in closed-loop. Int. J. Control 96(10): 2527-2541 (2023) - [c74]Braghadeesh Lakshminarayanan, Cristian R. Rojas:
Minimax Two-Stage Gradient Boosting for Parameter Estimation. CDC 2023: 1189-1194 - [c73]Augustus Elton, Rodrigo A. González
Parametric Continuous-Time Blind System Identification. CDC 2023: 1474-1479 - [c72]Inês Lourenço, Andreea Bobu
Diagnosing and Repairing Feature Representations Under Distribution Shifts. CDC 2023: 3638-3645 - [c71]Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg:
Optimal Transport for Correctional Learning. CDC 2023: 6806-6812 - [c70]Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer:
DRCFS: Doubly Robust Causal Feature Selection. ICML 2023: 28468-28491 - [i47]Rebecka Winqvist, Inês Lourenço, Francesco Quinzan, Cristian R. Rojas, Bo Wahlberg:
Optimal Transport for Correctional Learning. CoRR abs/2304.01701 (2023) - [i46]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh
Parsimonious Identification of Continuous-Time Systems: A Block-Coordinate Descent Approach. CoRR abs/2304.03259 (2023) - [i45]Rodrigo A. González, Angel L. Cedeño, María Coronel, Juan C. Agüero, Cristian R. Rojas:
An EM Algorithm for Lebesgue-sampled State-space Continuous-time System Identification. CoRR abs/2304.03314 (2023) - [i44]Inês Lourenço, Andreea Bobu, Cristian R. Rojas, Bo Wahlberg:
Diagnosing and Augmenting Feature Representations in Correctional Inverse Reinforcement Learning. CoRR abs/2304.05238 (2023) - [i43]Pawel Wachel, Krzysztof Kowalczyk
Decentralized diffusion-based learning under non-parametric limited prior knowledge. CoRR abs/2305.03295 (2023) - [i42]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh:
On the Relation between Discrete and Continuous-time Refined Instrumental Variable Methods. CoRR abs/2305.19676 (2023) - [i41]Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer:
DRCFS: Doubly Robust Causal Feature Selection. CoRR abs/2306.07024 (2023) - [i40]Braghadeesh Lakshminarayanan, Federico Dettù, Cristian R. Rojas, Simone Formentin:
Unraveling the Control Engineer's Craft with Neural Networks. CoRR abs/2311.11644 (2023) - 2022
- [j56]Siqi Pan
Corrigendum to "Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems" [Automatica 113 (2020) 108767]. Autom. 136: 109946 (2022) - [j55]Matias I. Müller, Cristian R. Rojas:
Risk-theoretic optimal design of output-feedback controllers via iterative convex relaxations. Autom. 136: 110042 (2022) - [j54]Rodrigo A. González, Cristian R. Rojas, Siqi Pan
Theoretical and practical aspects of the convergence of the SRIVC estimator for over-parameterized models. Autom. 142: 110355 (2022) - [j53]Siqi Pan, James S. Welsh
Consistency analysis and bias elimination of the Instrumental-Variable-based State Variable Filter method. Autom. 144: 110511 (2022) - [j52]Rami Mochaourab
Post Hoc Explainability for Time Series Classification: Toward a signal processing perspective. IEEE Signal Process. Mag. 39(4): 119-129 (2022) - [j51]Cristian R. Rojas
On State-Space Representations of General Discrete-Time Dynamical Systems. IEEE Trans. Autom. Control. 67(12): 6975-6979 (2022) - [c69]Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg:
A Teacher-Student Markov Decision Process-based Framework for Online Correctional Learning*. CDC 2022: 3456-3461 - [c68]Braghadeesh Lakshminarayanan
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation. CDC 2022: 5369-5374 - [c67]Javad Parsa, Cristian R. Rojas, Håkan Hjalmarsson
Optimal Input Design for Sparse System Identification. ECC 2022: 1999-2004 - [i39]Braghadeesh Lakshminarayanan, Cristian R. Rojas:
A Statistical Decision-Theoretical Perspective on the Two-Stage Approach to Parameter Estimation. CoRR abs/2204.00036 (2022) - [i38]Cristian R. Rojas, Pawel Wachel:
On state-space representations of general discrete-time dynamical systems. CoRR abs/2205.03366 (2022) - 2021
- [j50]Rodrigo A. González, Cristian R. Rojas, Siqi Pan
Consistent identification of continuous-time systems under multisine input signal excitation. Autom. 133: 109859 (2021) - [j49]Inês Lourenço, Robert Mattila, Cristian R. Rojas, Xiaoming Hu, Bo Wahlberg:
Hidden Markov Models: Inverse Filtering, Belief Estimation and Privacy Protection. J. Syst. Sci. Complex. 34(5): 1801-1820 (2021) - [c66]Rodrigo A. González, Cristian R. Rojas, Håkan Hjalmarsson
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations. CDC 2021: 114-119 - [c65]Rodrigo A. González, Cristian R. Rojas, Siqi Pan
The SRIVC algorithm for continuous-time system identification with arbitrary input excitation in open and closed loop. CDC 2021: 3004-3009 - [i37]Rodrigo A. González, Cristian R. Rojas, Håkan Hjalmarsson:
Non-causal regularized least-squares for continuous-time system identification with band-limited input excitations. CoRR abs/2103.10820 (2021) - [i36]Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas:
Consistency Analysis of the Closed-loop SRIVC Estimator. CoRR abs/2103.12338 (2021) - [i35]Matias I. Müller, Cristian R. Rojas:
Asymptotically Optimal Bandits under Weighted Information. CoRR abs/2105.14114 (2021) - [i34]Inês Lourenço, Rebecka Winqvist, Cristian R. Rojas, Bo Wahlberg:
A teacher-student framework for online correctional learning. CoRR abs/2111.07818 (2021) - 2020
- [j48]Siqi Pan
Consistency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems. Autom. 113: 108767 (2020) - [j47]Siqi Pan
Efficiency analysis of the Simplified Refined Instrumental Variable method for Continuous-time systems. Autom. 121: 109196 (2020) - [j46]Robert Mattila
Inverse Filtering for Hidden Markov Models With Applications to Counter-Adversarial Autonomous Systems. IEEE Trans. Signal Process. 68: 4987-5002 (2020) - [c64]Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. CDC 2020: 1785-1791 - [c63]Matias I. Müller, Cristian R. Rojas:
Iterative H-norm Estimation Using Cyclic-Prefixed Signals. CDC 2020: 2869-2874 - [c62]Rodrigo A. González, Cristian R. Rojas:
Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes. ICASSP 2020: 5380-5384 - [c61]Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What did your adversary believeƒ Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. ICASSP 2020: 5495-5499 - [c60]Robert Mattila, Cristian R. Rojas, Eric Moulines, Vikram Krishnamurthy, Bo Wahlberg:
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations. ICML 2020: 6785-6796 - [c59]Rodrigo A. González, Cristian R. Rojas:
A Finite-Sample Deviation Bound for Stable Autoregressive Processes. L4DC 2020: 191-200 - [i33]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models with Applications to Counter-Adversarial Autonomous Systems. CoRR abs/2001.11809 (2020) - [i32]Siqi Pan, James S. Welsh, Rodrigo A. González, Cristian R. Rojas:
Efficiency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. CoRR abs/2002.00518 (2020) - [i31]Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
How to Protect Your Privacy? A Framework for Counter-Adversarial Decision Making. CoRR abs/2004.04119 (2020) - [i30]Rodrigo A. González, Cristian R. Rojas, Siqi Pan, James S. Welsh:
Consistent identification of continuous-time systems under multisine input signal excitation. CoRR abs/2005.02662 (2020) - [i29]Inês Lourenço, Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
Cooperative System Identification via Correctional Learning. CoRR abs/2012.05161 (2020)
2010 – 2019
- 2019
- [j45]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson
Estimating models with high-order noise dynamics using semi-parametric weighted null-space fitting. Autom. 102: 45-57 (2019) - [j44]Robert Mattila
Estimating Private Beliefs of Bayesian Agents Based on Observed Decisions. IEEE Control. Syst. Lett. 3(3): 523-528 (2019) - [j43]Patricio E. Valenzuela, Thomas B. Schön
On model order priors for Bayesian identification of SISO linear systems. Int. J. Control 92(7): 1645-1661 (2019) - [j42]Miguel Galrinho
Parametric Identification Using Weighted Null-Space Fitting. IEEE Trans. Autom. Control. 64(7): 2798-2813 (2019) - [c58]Matias I. Müller, Cristian R. Rojas:
Gain estimation of linear dynamical systems using Thompson Sampling. AISTATS 2019: 1535-1543 - [c57]Matias I. Müller, Cristian R. Rojas:
Risk-Coherent H∞-optimal Filter Design Under Model Uncertainty with Applications to MISO Control. ECC 2019: 1461-1466 - [i28]Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas:
Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. CoRR abs/1910.00166 (2019) - [i27]Robert Mattila, Inês Lourenço, Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
What Did Your Adversary Believe? Optimal Filtering and Smoothing in Counter-Adversarial Autonomous Systems. CoRR abs/1910.07332 (2019) - [i26]Othmane Mazhar, Cristian R. Rojas, Carlo Fischione, Mohammad Reza Hesamzadeh:
Bayesian Model Selection for Change Point Detection and Clustering. CoRR abs/1912.01308 (2019) - [i25]Rodrigo A. González, Cristian R. Rojas:
A Finite-Sample Deviation Bound for Stable Autoregressive Processes. CoRR abs/1912.08103 (2019) - 2018
- [j41]Huong Ha, James S. Welsh
An analysis of the SPARSEVA estimate for the finite sample data case. Autom. 96: 141-149 (2018) - [j40]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson
Analysis of averages over distributions of Markov processes. Autom. 98: 354-357 (2018) - [j39]Johan Bjurgert
On Adaptive Boosting for System Identification. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4510-4514 (2018) - [c56]Tom Oomen, Cristian R. Rojas:
Sparse iterative learning control (SPILC): When to sample for resource-efficiency? AMC 2018: 497-503 - [c55]Rodrigo A. González, Cristian R. Rojas, James S. Welsh
An asymptotically optimal indirect approach to continuous-time system identification. CDC 2018: 638-643 - [c54]Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Sergio M. Savaresi:
Robust Experiment Design for Virtual Reference Feedback Tuning. CDC 2018: 2271-2276 - [c53]Matias I. Müller, Jezdimir Milosevic, Henrik Sandberg
A Risk-Theoretical Approach to H2-Optimal Control Under Covert Attacks. CDC 2018: 4553-4558 - [c52]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Linear Gaussian State-Space Models. CDC 2018: 5556-5561 - [c51]Othmane Mazhar, Cristian R. Rojas, Carlo Fischione, Mohammad Reza Hesamzadeh:
Bayesian Model Selection for Change Point Detection and Clustering. ICML 2018: 3430-3439 - [i24]Rodrigo A. González, Cristian R. Rojas, James S. Welsh:
An asymptotically optimal indirect approach to continuous-time system identification. CoRR abs/1803.08449 (2018) - 2017
- [j38]Diego Eckhard
Cost function shaping of the output error criterion. Autom. 76: 53-60 (2017) - [j37]Niklas Everitt, Giulio Bottegal
Variance analysis of linear SIMO models with spatially correlated noise. Autom. 77: 68-81 (2017) - [j36]Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön
On robust input design for nonlinear dynamical models. Autom. 77: 268-278 (2017) - [j35]Rodrigo A. González
Optimal Enforcement of Causality in Non-Parametric Transfer Function Estimation. IEEE Control. Syst. Lett. 1(2): 268-273 (2017) - [j34]Robert Mattila
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. IEEE Signal Process. Lett. 24(12): 1813-1817 (2017) - [c50]Gianmarco Rallo, Simone Formentin, Cristian R. Rojas, Tom Oomen, Sergio M. Savaresi:
Data-driven H∞-norm estimation via expert advice. CDC 2017: 1560-1565 - [c49]Matias I. Müller, Patricio E. Valenzuela, Alexandre Proutière, Cristian R. Rojas:
A stochastic multi-armed bandit approach to nonparametric H∞-norm estimation. CDC 2017: 4632-4637 - [c48]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Identification of hidden Markov models using spectral learning with likelihood maximization. CDC 2017: 5859-5864 - [c47]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Inverse Filtering for Hidden Markov Models. NIPS 2017: 4204-4213 - [i23]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Asymptotically Efficient Identification of Known-Sensor Hidden Markov Models. CoRR abs/1702.00155 (2017) - [i22]Robert Mattila, Cristian R. Rojas, Vikram Krishnamurthy, Bo Wahlberg:
Computing monotone policies for Markov decision processes: a nearly-isotonic penalty approach. CoRR abs/1704.00621 (2017) - [i21]Tom Oomen, Cristian R. Rojas:
Sparse Iterative Learning Control with Application to a Wafer Stage: Achieving Performance, Resource Efficiency, and Task Flexibility. CoRR abs/1706.01647 (2017) - [i20]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Parametric Identification Using Weighted Null-Space Fitting. CoRR abs/1708.03946 (2017) - [i19]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson:
Asymptotic Analysis of Semi-Parametric Weighted Null-Space Fitting Identification. CoRR abs/1708.03947 (2017) - 2016
- [j33]Leyla Özkan, Xavier Bombois, Jobert H. A. Ludlage, Cristian R. Rojas, Håkan Hjalmarsson
Advanced autonomous model-based operation of industrial process systems (Autoprofit): Technological developments and future perspectives. Annu. Rev. Control. 42: 126-142 (2016) - [j32]Christian A. Larsson, Afrooz Ebadat, Cristian R. Rojas, Xavier Bombois, Håkan Hjalmarsson
An application-oriented approach to dual control with excitation for closed-loop identification. Eur. J. Control 29: 1-16 (2016) - [j31]Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Magnus Jansson, Massoud Babaie-Zadeh:
Upper bounds on the error of sparse vector and low-rank matrix recovery. Signal Process. 120: 249-254 (2016) - [j30]Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson:
Alternating strategies with internal ADMM for low-rank matrix reconstruction. Signal Process. 121: 153-159 (2016) - [j29]Johan Ottersten
Accurate Changing Point Detection for ℓ1 Mean Filtering. IEEE Signal Process. Lett. 23(2): 297-301 (2016) - [j28]Martin Sundin
Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction. IEEE Trans. Signal Process. 64(20): 5327-5339 (2016) - [j27]Mohammadreza Malek-Mohammadi
Successive Concave Sparsity Approximation for Compressed Sensing. IEEE Trans. Signal Process. 64(21): 5657-5671 (2016) - [j26]Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Bo Wahlberg:
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering. IEEE Trans. Signal Process. 64(24): 6650-6664 (2016) - [c46]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson
A weighted least squares method for estimation of unstable systems. CDC 2016: 341-346 - [c45]Patricio E. Valenzuela, Johan Dahlin, Cristian R. Rojas, Thomas B. Schön
Particle-based Gaussian process optimization for input design in nonlinear dynamical models. CDC 2016: 2085-2090 - [c44]Niklas Everitt, Giulio Bottegal
Identification of modules in dynamic networks: An empirical Bayes approach. CDC 2016: 4612-4617 - [c43]Kezhi Li, Cristian R. Rojas, Tao Yang, Håkan Hjalmarsson
Piecewise sparse signal recovery via piecewise orthogonal matching pursuit. ICASSP 2016: 4608-4612 - [i18]Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Bo Wahlberg:
A Class of Nonconvex Penalties Preserving Overall Convexity in Optimization-Based Mean Filtering. CoRR abs/1604.06589 (2016) - 2015
- [j25]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson
A graph theoretical approach to input design for identification of nonlinear dynamical models. Autom. 51: 233-242 (2015) - [j24]Dimitrios Katselis, Cristian R. Rojas, Boris I. Godoy, Juan C. Agüero
On the end-performance metric estimator selection. Autom. 58: 22-27 (2015) - [j23]Dimitrios Katselis, Cristian R. Rojas:
Application-Oriented Estimator Selection. IEEE Signal Process. Lett. 22(4): 489-493 (2015) - [j22]Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg:
Regularization Paths for Re-Weighted Nuclear Norm Minimization. IEEE Signal Process. Lett. 22(11): 1980-1984 (2015) - [c42]Dimitrios Katselis, Cristian R. Rojas, Carolyn L. Beck:
Estimator selection: End-performance metric aspects. ACC 2015: 4430-4435 - [c41]Niklas Everitt, Giulio Bottegal
On the variance analysis of identified linear MIMO models. CDC 2015: 1447-1452 - [c40]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson
On estimating initial conditions in unstructured models. CDC 2015: 2725-2730 - [c39]Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg:
Approximate regularization paths for nuclear norm minimization using singular value bounds. SP/SPE 2015: 190-195 - [c38]Dimitrios Katselis, Cristian R. Rojas, Boris I. Godoy, Juan C. Agüero
On experiment design for single carrier and multicarrier systems. ECC 2015: 1772-1777 - [c37]Cristian R. Rojas, Bo Wahlberg:
How to monitor and mitigate stair-casing in L1 trend filtering. ICASSP 2015: 3946-3950 - [i17]Niklas Everitt, Giulio Bottegal, Cristian R. Rojas, Håkan Hjalmarsson:
Variance Analysis of Linear SIMO Models with Spatially Correlated Noise. CoRR abs/1501.03077 (2015) - [i16]Martin Sundin, Cristian R. Rojas, Magnus Jansson, Saikat Chatterjee:
Bayesian Learning for Low-Rank matrix reconstruction. CoRR abs/1501.05740 (2015) - [i15]Mohammadreza Malek-Mohammadi, Cristian R. Rojas, Magnus Jansson, Massoud Babaie-Zadeh:
Upper Bounds on the Error of Sparse Vector and Low-Rank Matrix Recovery. CoRR abs/1504.03195 (2015) - [i14]Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg:
Approximate Regularization Paths for Nuclear Norm Minimization Using Singular Value Bounds - With Implementation and Extended Appendix. CoRR abs/1504.05208 (2015) - [i13]Mohammadreza Malek-Mohammadi, Ali Koochakzadeh, Massoud Babaie-Zadeh, Magnus Jansson, Cristian R. Rojas:
Successive Concave Sparsity Approximation: Near-Oracle Performance in a Wide Range of Sparsity Levels. CoRR abs/1505.06841 (2015) - [i12]Robert Mattila, Cristian R. Rojas, Bo Wahlberg:
Evaluation of Spectral Learning for the Identification of Hidden Markov Models. CoRR abs/1507.06346 (2015) - [i11]Dimitrios Katselis, Cristian R. Rojas, Carolyn L. Beck:
Estimator Selection: End-Performance Metric Aspects. CoRR abs/1507.07238 (2015) - 2014
- [j21]Cristian R. Rojas, Roland Tóth
Sparse Estimation of Polynomial and Rational Dynamical Models. IEEE Trans. Autom. Control. 59(11): 2962-2977 (2014) - [j20]Tom Oomen
Iterative Data-Driven ℋ∞ Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation. IEEE Trans. Control. Syst. Technol. 22(6): 2247-2260 (2014) - [j19]Vikram Krishnamurthy, Cristian R. Rojas:
Reduced Complexity HMM Filtering With Stochastic Dominance Bounds: A Convex Optimization Approach. IEEE Trans. Signal Process. 62(23): 6309-6322 (2014) - [c36]Miguel Galrinho, Cristian R. Rojas, Håkan Hjalmarsson
A weighted least-squares method for parameter estimation in structured models. CDC 2014: 3322-3327 - [c35]Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg:
Approximate regularization path for nuclear norm based H2 model reduction. CDC 2014: 3637-3641 - [c34]Afrooz Ebadat, Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson
Applications oriented input design for closed-loop system identification: a graph-theory approach. CDC 2014: 4125-4130 - [c33]Afrooz Ebadat, Mariette Annergren, Christian A. Larsson, Cristian R. Rojas, Bo Wahlberg, Håkan Hjalmarsson
Application set approximation in optimal input design for model predictive control. ECC 2014: 744-749 - [c32]Boris I. Godoy, Patricio E. Valenzuela, Cristian R. Rojas, Juan C. Agüero
A novel input design approach for systems with quantized output data. ECC 2014: 1049-1054 - [c31]Håkan Hjalmarsson
Model structure selection - An update. ECC 2014: 2382-2385 - [c30]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz matrices-based sensing for rank minimization. EUSIPCO 2014: 1836-1840 - [i10]Afrooz Ebadat, Bo Wahlberg, Håkan Hjalmarsson, Cristian R. Rojas, Per Hägg, Christian A. Larsson:
Applications Oriented Input Design in Time-Domain Through Cyclic Methods. CoRR abs/1403.6953 (2014) - [i9]Kezhi Li, Cristian R. Rojas, Saikat Chatterjee, Håkan Hjalmarsson:
Piecewise Toeplitz Matrices-based Sensing for Rank Minimization. CoRR abs/1406.0187 (2014) - [i8]Martin Sundin, Saikat Chatterjee, Magnus Jansson, Cristian R. Rojas:
Relevance Singular Vector Machine for low-rank matrix sensing. CoRR abs/1407.0013 (2014) - [i7]Kezhi Li, Martin Sundin, Cristian R. Rojas, Saikat Chatterjee, Magnus Jansson:
Alternating Strategies Are Good For Low-Rank Matrix Reconstruction. CoRR abs/1407.3410 (2014) - [i6]Niklas Blomberg, Cristian R. Rojas, Bo Wahlberg:
Approximate Regularization Path for Nuclear Norm Based H2 Model Reduction. CoRR abs/1407.5820 (2014) - [i5]Cristian R. Rojas, Bo Wahlberg:
How to monitor and mitigate stair-casing in l1 trend filtering. CoRR abs/1412.0607 (2014) - 2013
- [j18]Diego Eckhard
Input design as a tool to improve the convergence of PEM. Autom. 49(11): 3282-3291 (2013) - [j17]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson, Emil Björnson, Xavier Bombois, Nafiseh Shariati, Magnus Jansson
Training sequence design for MIMO channels: an application-oriented approach. EURASIP J. Wirel. Commun. Netw. 2013: 245 (2013) - [j16]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson
Frequency smoothing gains in preamble-based channel estimation for multicarrier systems. Signal Process. 93(9): 2777-2782 (2013) - [j15]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson
A Note on the SPICE Method. IEEE Trans. Signal Process. 61(18): 4545-4551 (2013) - [c29]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson
Application-Oriented Least Squares Experiment Design in Multicarrier Communication Systems. ALCOSP 2013: 74-79 - [c28]Tom Oomen, Rick van der Maas, Cristian R. Rojas, Håkan Hjalmarsson:
Iteratively learning the ℌ∞-norm of multivariable systems applied to model-error-modeling of a vibration isolation system. ACC 2013: 6703-6708 - [c27]Vikram Krishnamurthy, Cristian R. Rojas, Bo Wahlberg:
Computing monotone policies for Markov decision processes by exploiting sparsity. AuCC 2013: 1-6 - [c26]Patricio E. Valenzuela, Cristian R. Rojas, Håkan Hjalmarsson
Optimal input design for non-linear dynamic systems: A graph theory approach. CDC 2013: 5740-5745 - [c25]Niklas Everitt, Cristian R. Rojas, Håkan Hjalmarsson
A geometric approach to variance analysis of cascaded systems. CDC 2013: 6496-6501 - [c24]Cristian R. Rojas, Bo Wahlberg, Håkan Hjalmarsson
A sparse estimation technique for general model structures. ECC 2013: 2410-2414 - [c23]Christian A. Larsson, Mariette Annergren, Håkan Hjalmarsson
Model predictive control with integrated experiment design for output error systems. ECC 2013: 3790-3795 - [i4]Dimitrios Katselis, Cristian R. Rojas, Mats Bengtsson, Emil Björnson, Xavier Bombois, Nafiseh Shariati, Magnus Jansson, Håkan Hjalmarsson:
Training Sequence Design for MIMO Channels: An Application-Oriented Approach. CoRR abs/1301.3708 (2013) - [i3]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson, Mats Bengtsson, Mikael Skoglund:
On the Design of Channel Estimators for given Signal Estimators and Detectors. CoRR abs/1303.4289 (2013) - [i2]Afrooz Ebadat, Mariette Annergren, Christian A. Larsson, Cristian R. Rojas, Bo Wahlberg:
Application Set Approximation in Optimal Input Design for Model Predictive Control. CoRR abs/1303.5199 (2013) - 2012
- [j14]Claus Müller, Cristian R. Rojas, Graham C. Goodwin
Generation of amplitude constrained signals with a prescribed spectrum. Autom. 48(1): 153-158 (2012) - [j13]Juan C. Agüero
Accuracy of linear multiple-input multiple-output (MIMO) models obtained by maximum likelihood estimation. Autom. 48(4): 632-637 (2012) - [j12]Cristian R. Rojas, Tom Oomen
Analyzing iterations in identification with application to nonparametric H∞-norm estimation. Autom. 48(11): 2776-2790 (2012) - [j11]Cristian R. Rojas, Juan C. Agüero
Robustness in Experiment Design. IEEE Trans. Autom. Control. 57(4): 860-874 (2012) - [c22]Bo Wahlberg
On asymptotic frequency response variance expressions for estimated output error models. CDC 2012: 178-183 - [c21]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson
A Chernoff relaxation on the problem of application-oriented finite sample experiment design. CDC 2012: 202-207 - [c20]Roland Tóth, Håkan Hjalmarsson
Order and structural dependence selection of LPV-ARX models revisited. CDC 2012: 6271-6276 - [c19]Dimitrios Katselis, Cristian R. Rojas, Håkan Hjalmarsson
A Chernoff convexification for chance constrained MIMO training sequence design. SPAWC 2012: 40-44 - [i1]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson:
A Note on the SPICE Method. CoRR abs/1209.4887 (2012) - 2011
- [j10]Jonas Mårtensson
Conditions when minimum variance control is the optimal experiment for identifying a minimum variance controller. Autom. 47(3): 578-583 (2011) - [j9]Alicia Esparza, Juan C. Agüero
Asymptotic statistical analysis for model-based control design strategies. Autom. 47(5): 1041-1046 (2011) - [j8]Cristian R. Rojas, Håkan Hjalmarsson
An adaptive method for consistent estimation of real-valued non-minimum phase zeros in stable LTI systems. Autom. 47(7): 1388-1398 (2011) - [j7]Cristian R. Rojas, Märta Barenthin, James S. Welsh
The cost of complexity in system identification: The Output Error case. Autom. 47(9): 1938-1948 (2011) - [j6]Håkan Hjalmarsson
On the accuracy in errors-in-variables identification compared to prediction-error identification. Autom. 47(12): 2704-2712 (2011) - [j5]Cristian R. Rojas, Per Zetterberg, Peter Händel
Transceiver Inphase/Quadrature Imbalance, Ellipse Fitting, and the Universal Software Radio Peripheral. IEEE Trans. Instrum. Meas. 60(11): 3629-3639 (2011) - [c18]Bo Wahlberg
On l1 mean and variance filtering. ACSCC 2011: 1913-1916 - [c17]K. Erik J. Olofsson, Cristian R. Rojas, Håkan Hjalmarsson
Cascade and multibatch subspace system identification for multivariate vacuum-plasma response characterisation. CDC/ECC 2011: 2614-2619 - [c16]Cristian R. Rojas, Håkan Hjalmarsson
Sparse estimation based on a validation criterion. CDC/ECC 2011: 2825-2830 - [c15]Cristian R. Rojas, Dimitrios Katselis, Håkan Hjalmarsson
Chance constrained input design. CDC/ECC 2011: 2957-2962 - [c14]Lirong Huang, Håkan Hjalmarsson
On consistent estimation of farthest NMP zeros of stable LTI systems. CDC/ECC 2011: 5094-5099 - [c13]Bo Wahlberg
On optimal input signal design for identification of output error models. CDC/ECC 2011: 5118-5124 - [c12]Dimitrios Katselis, Mats Bengtsson, Cristian R. Rojas, Håkan Hjalmarsson, Eleftherios Kofidis:
On preamble-based channel estimation in OFDM/OQAM systems. EUSIPCO 2011: 1618-1622 - [c11]Cristian R. Rojas:
Identifiability of multivariable dynamic errors-in-variables systems. ICCA 2011: 189-194 - 2010
- [j4]Cristian R. Rojas, Märta Barenthin, James S. Welsh
The Cost of Complexity in System Identification: Frequency Function Estimation of Finite Impulse Response Systems. IEEE Trans. Autom. Control. 55(10): 2298-2309 (2010) - [c10]K. Erik J. Olofsson, Cristian R. Rojas, Håkan Hjalmarsson
Closed-loop MIMO ARX estimation of concurrent external plasma response eigenmodes in magnetic confinement fusion. CDC 2010: 2954-2959 - [c9]Christian A. Larsson, Håkan Hjalmarsson
Identification of nonlinear systems using misspecified predictors. CDC 2010: 7214-7219 - [c8]Christian A. Larsson, Håkan Hjalmarsson
On optimal input design for nonlinear FIR-type systems. CDC 2010: 7220-7225
2000 – 2009
- 2009
- [j3]Cristian R. Rojas, James S. Welsh
Fundamental Limitations on the Variance of Estimated Parametric Models. IEEE Trans. Autom. Control. 54(5): 1077-1081 (2009) - [c7]Cristian R. Rojas, Håkan Hjalmarsson
Input design for asymptotic robust H2-filtering. CDC 2009: 476-481 - [c6]Juan C. Agüero
Fundamental limitations on the accuracy of MIMO linear models obtained by PEM for systems operating in open loop. CDC 2009: 482-487 - [c5]Cristian R. Rojas, Håkan Hjalmarsson
MIMO experiment design based on asymptotic model order theory. CDC 2009: 488-493 - [c4]K. Erik J. Olofsson, Håkan Hjalmarsson
Vector dither experiment design and direct parametric identification of reversed-field pinch normal modes. CDC 2009: 1348-1353 - [c3]Chiara Brighenti, Bo Wahlberg
Input design using Markov chains for system identification. CDC 2009: 1557-1562 - [c2]Jonas Mårtensson, Cristian R. Rojas, Håkan Hjalmarsson
Finite model order optimal input design for minimum variance control. ECC 2009: 454-459 - 2008
- [j2]Cristian R. Rojas, Juan C. Agüero
On the equivalence of least costly and traditional experiment design for control. Autom. 44(11): 2706-2715 (2008) - 2007
- [j1]Cristian R. Rojas, James S. Welsh
Robust optimal experiment design for system identification. Autom. 43(6): 993-1008 (2007) - [c1]Cristian R. Rojas, James S. Welsh
A Receding Horizon Algorithm to Generate Binary Signals with a Prescribed Autocovariance. ACC 2007: 122-127
Coauthor Index
[j61] [i56] [i52] [i51] [i50] [j60] [j58] [c67] [c66] [i37] [j45] [j42] [j40] [j38] [j37] [i20] [i19] [j33] [j32] [c46] [c44] [c43] [j25] [c41] [c40] [i17] [j21] [j20] [c36] [c34] [c33] [c31] [c30] [i10] [i9] [j18] [j17] [j16] [j15] [c29] [c28] [c26] [c25] [c24] [c23] [i4] [i3] [j13] [j12] [c21] [c20] [c19] [i1] [j10] [j8] [j7] [j6] [c17] [c16] [c15] [c14] [c12] [j4] [c10] [c9] [c8] [c7] [c5] [c4] [c2]
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