Cristian R. Rojas

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Håkan HjalmarssonCentre for Advanced Bioproduction, Linnaeus Centre ACCESS, School of EE and CSVerified email at kth.se
James WelshUniversity of NewcastleVerified email at newcastle.edu.au
Bo WahlbergProfessor Automatic Control, KTH Royal Institute of TechnologyVerified email at kth.se
Tom OomenEindhoven University of TechnologyVerified email at tue.nl
Juan C. AgüeroUniversidad Tecnica Federico Santa Maria (Chile)Verified email at usm.cl
Christian LarssonPhD Student, Automatic Control, KTHVerified email at ee.kth.se
Vikram KrishnamurthyProfessor, Cornell UniversityVerified email at cornell.edu
Magnus JanssonKTH Royal Institute of Technology, School of Electrical engineering and computer science, DivisionVerified email at kth.se
Mats BengtssonInformation Science and Engineering, KTH Royal Institute of TechnologyVerified email at kth.se
Jonas MårtenssonProfessor in Automatic Control, KTH Royal Institute of TechnologyVerified email at kth.se
Afrooz EbadatKTH Royal Institute of TechnologyVerified email at kth.se
Niklas EverittPhd-studentVerified email at kth.se
Mariette AnnergrenACCESS Automatic Control, KTH Royal Institute of TechnologyVerified email at kth.se
Mohammadreza Malek-MohammadiQualcommVerified email at kth.se
Saikat ChatterjeeKTH - Royal Institute of TechnologyVerified email at kth.se
K Erik J OlofssonScientist / Control PhysicistVerified email at fusion.gat.com
Martin SundinPhD in Signal Processing from KTH Royal Institute of TechnologyVerified email at kth.se
Benjamin Sanchez TerronesDepartment of Electrical and Computer Engineering, University of UtahVerified email at utah.edu
Diego EckhardUniversidade Federal do Rio Grande do SulVerified email at eckhard.com.br
Massoud Babaie-ZadehSharif University of TechnologyVerified email at sharif.edu

Cristian R. Rojas

Professor, Division of Decision and Control Systems, KTH Royal Institute of Technology

Verified email at kth.se - Homepage

System Identification Statistics Machine Learning Systems and Control


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Robust optimal experiment design for system identification CR Rojas, JS Welsh, GC Goodwin, A Feuer Automatica 43 (6), 993-1008, 2007	279	2007
Iterative Data-DrivenNorm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation T Oomen, R van der Maas, CR Rojas, H Hjalmarsson IEEE Transactions on Control Systems Technology 22 (6), 2247-2260, 2014	78	2014
Sparse iterative learning control with application to a wafer stage: Achieving performance, resource efficiency, and task flexibility T Oomen, CR Rojas Mechatronics 47, 134-147, 2017	74	2017
Model predictive control with integrated experiment design for output error systems CA Larsson, M Annergren, H Hjalmarsson, CR Rojas, X Bombois, ... 2013 European Control Conference (ECC), 3790-3795, 2013	68	2013
On change point detection using the fused lasso method CR Rojas, B Wahlberg arXiv preprint arXiv:1401.5408, 2014	67	2014
A note on the SPICE method CR Rojas, D Katselis, H Hjalmarsson IEEE transactions on signal processing 61 (18), 4545-4551, 2013	63	2013
On the calculation of the D-optimal multisine excitation power spectrum for broadband impedance spectroscopy measurements B Sanchez, CR Rojas, G Vandersteen, R Bragos, J Schoukens Measurement Science and Technology 23 (8), 085702, 2012	56	2012
Experimental evaluation of model predictive control with excitation (MPC-X) on an industrial depropanizer CA Larsson, CR Rojas, X Bombois, H Hjalmarsson Journal of Process Control 31, 1-16, 2015	53	2015
Sparse estimation based on a validation criterion CR Rojas, H Hjalmarsson 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	53	2011
Analyzing iterations in identification with application to nonparametric H∞-norm estimation CR Rojas, T Oomen, H Hjalmarsson, B Wahlberg Automatica 48 (11), 2776-2790, 2012	48	2012
Robustness in experiment design CR Rojas, JC Aguero, JS Welsh, GC Goodwin, A Feuer IEEE Transactions on Automatic Control 57 (4), 860-874, 2011	48	2011
Robust identification of process models from plant data GC Goodwin, JC Agüero, JS Welsh, JI Yuz, GJ Adams, CR Rojas Journal of Process control 18 (9), 810-820, 2008	48	2008
Sparse estimation of polynomial and rational dynamical models CR Rojas, R Tóth, H Hjalmarsson IEEE Transactions on Automatic Control 59 (11), 2962-2977, 2014	47	2014
On the equivalence of least costly and traditional experiment design for control CR Rojas, JC Agüero, JS Welsh, GC Goodwin Automatica 44 (11), 2706-2715, 2008	43	2008
A receding horizon algorithm to generate binary signals with a prescribed autocovariance CR Rojas, JS Welsh, GC Goodwin 2007 American Control Conference, 122-127, 2007	43	2007
Successive concave sparsity approximation for compressed sensing M Malek-Mohammadi, A Koochakzadeh, M Babaie-Zadeh, M Jansson, ... IEEE Transactions on Signal Processing 64 (21), 5657-5671, 2016	42	2016
Identification of Box-Jenkins models using structured ARX models and nuclear norm relaxation H Hjalmarsson, JS Welsh, CR Rojas IFAC Proceedings Volumes 45 (16), 322-327, 2012	38	2012
Consistency analysis of the simplified refined instrumental variable method for continuous-time systems S Pan, RA González, JS Welsh, CR Rojas Automatica 113, 108767, 2020	37	2020
Optimal input design for non-linear dynamic systems: a graph theory approach PE Valenzuela, CR Rojas, H Hjalmarsson 52nd IEEE Conference on Decision and Control, 5740-5745, 2013	36	2013
On optimal input design for nonlinear FIR-type systems CA Larsson, H Hjalmarsson, CR Rojas 49th IEEE Conference on Decision and Control (CDC), 7220-7225, 2010	36	2010

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