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
Christian LarssonPhD Student, Automatic Control, KTHVerified email at ee.kth.se
Juan C. AgüeroUniversidad Tecnica Federico Santa Maria (Chile)Verified email at usm.cl
Vikram KrishnamurthyProfessor, Cornell UniversityVerified email at cornell.edu
Tom OomenEindhoven University of TechnologyVerified email at tue.nl
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
Saikat ChatterjeeKTH - Royal Institute of TechnologyVerified email at kth.se
K Erik J OlofssonScientist / Control PhysicistVerified email at fusion.gat.com
Mohammadreza Malek-MohammadiEricssonVerified email at kth.se
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
Thomas SchönProfessor, Uppsala UniversityVerified email at it.uu.se

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	253	2007
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	62	2013
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	59	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	54	2017
A note on the SPICE method CR Rojas, D Katselis, H Hjalmarsson IEEE transactions on signal processing 61 (18), 4545-4551, 2013	52	2013
On change point detection using the fused lasso method CR Rojas, B Wahlberg arXiv preprint arXiv:1401.5408, 2014	51	2014
Sparse estimation based on a validation criterion CR Rojas, H Hjalmarsson 2011 50th IEEE Conference on Decision and Control and European Control …, 2011	51	2011
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	50	2015
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	46	2012
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	45	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	40	2014
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	40	2012
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	40	2008
Robustness in experiment design CR Rojas, JC Aguero, JS Welsh, GC Goodwin, A Feuer IEEE Transactions on Automatic Control 57 (4), 860-874, 2011	39	2011
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	39	2007
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
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	34	2010
An application-oriented approach to dual control with excitation for closed-loop identification CA Larsson, A Ebadat, CR Rojas, X Bombois, H Hjalmarsson European Journal of Control 29, 1-16, 2016	31	2016
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	31	2013
A class of nonconvex penalties preserving overall convexity in optimization-based mean filtering M Malek-Mohammadi, CR Rojas, B Wahlberg IEEE Transactions on Signal Processing 64 (24), 6650-6664, 2016	30	2016

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