Publications

Journals

2024

Albornoz, Miguel, Jaime Rohten, José Espinoza, Jorge Varela, Daniel Sbarbaro, and Yandi Gallego. 2024. "Photovoltaic Power Injection Control Based on a Virtual Synchronous Machine Strategy" Sensors 24, no. 13: 4039. https://doi.org/10.3390/s24134039

L. Marrero, D. Sbárbaro and L. García-Santander, "Online Demand Response Characterization Based on Variability in Customer Behavior," in Journal of Modern Power Systems and Clean Energy, vol. 12, no. 3, pp. 936-946, May 2024, doi: 10.35833/MPCE.2023.000516.

D. Sbarbaro and L. Morán, "Status and Outlook of Copper Mining Electrification: Empowering the future: Navigating the transformative landscape of copper mining electrification in Chile," in IEEE Electrification Magazine, vol. 12, no. 1, pp. 27-37, March 2024, doi: 10.1109/MELE.2023.3348348.

2022

Schwarz Alex, Gaete María, Nancucheo Iván, Villa-Gomez Denys, Aybar Marcelo, Sbárbaro Daniel, High-Rate Sulfate Removal Coupled to Elemental Sulfur Production in Mining Process Waters Based on Membrane-Biofilm Technology, FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 10, 2022, https://www.frontiersin.org/article/10.3389/fbioe.2022.805712 DOI:10.3389/fbioe.2022.805712

S. Viana, É., Gomes da Silva, J.M., G. Moreira, L. et al. Disturbance Rejection for Uncertain Discrete-Time Linear Systems Through Event-Triggered Control. J Control Autom Electr Syst 33, 103–114 (2022). https://doi.org/10.1007/s40313-021- 00832-8

Oscar Briones, Rubén Alarcón, Alejandro J. Rojas, Daniel Sbarbaro, Tuning Generalized Predictive PI controllers for process control applications, ISA Transactions, Volume 119, 2022,Pages 184-195, https://doi.org/10.1016/j.isatra.2021.02.040.

2021

Omar Behar, Daniel Sbarbaro, Luis Moran, Which is the most competitive solar power technology for integration into the existing copper mining plants: Photovoltaic (PV), Concentrating Solar Power (CSP), or hybrid PV-CSP?,Journal of Cleaner,Production,287,2021,125455,https://doi.org/10.1016/j.jclepro.2020.125455

Ashwin Kumar Myakalwar, Claudio Sandoval, Benjamín Sepúlveda, Rodrigo Fuentes, Roberto Parra, Eduardo Balladares, Alejandro Vásquez, Daniel Sbarbaro, Jorge Yáñez, Laser induced breakdown spectroscopy for monitoring the molten phase desulfurization process of blister copper, Analytica Chimica Acta,1178,2021, https://doi.org/10.1016/j.aca.2021.338805.

Luarte, Danny and Myakalwar, Ashwin Kumar and Velásquez, Marizú and Álvarez, Jonnathan and Sandoval, Claudio and Fuentes, Rodrigo and Yañez, Jorge and Sbarbaro, Daniel, Combining prior knowledge with input selection algorithms for quantitative analysis using neural networks in laser induced breakdown spectroscopy, Analytical Methods, 2021, 13(9), 1181—1190, DOI: 10.1039/D0AY02300K

Villarroel, Felipe A. and Espinoza, José R. and Pérez, Marcelo A. and Ramírez, Roberto O. and Baier, Carlos R. and Sbárbaro, Daniel and Silva, José J. and Reyes, Mauricio A., Stable Shortest Horizon FCs-MPC Output Voltage Control in Non-Minimum Phase Boost-Type Converters Based on Input-State Linearization, IEEE Transactions on Energy Conversion, vol. 36, no. 2, pp. 1378-1391, June 2021, doi: 10.1109/TEC.2021.3055733.

Rodrigo Fuentes, Danny Luarte, Claudio Sandoval, Ashwin Kumar Myakalwar, Jorge Yáñez, Daniel Sbarbaro, Data fusion of Laser Induced Breakdown Spectroscopy and Diffuse Reflectance for improved analysis of mineral species in copper concentrates, Minerals Engineering, 173, 2021, 107193, https://doi.org/10.1016/j.mineng.2021.107193.

Myakalwar, Ashwin K., Claudio Sandoval, Marizú Velásquez, Daniel Sbarbaro, Benjamín Sepúlveda, and Jorge Yáñez. 2021. LIBS as a Spectral Sensor for Monitoring Metallic Molten Phase in Metallurgical Applications—A Review, Minerals 11, no. 10: 1073. https://doi.org/10.3390/min11101073 

Arias, Luis, Eduardo Balladares, Roberto Parra, Daniel Sbarbaro, and Sergio Torres. 2021. Sensors and Process Control in Copper Smelters: A Review of Current Systems and Some Opportunities, Minerals11, no. 1: 1. https://doi.org/10.3390/min11010001

2020

Behar, Omar, Daniel Sbarbaro, and Luis Morán. 2020, A Practical Methodology for the Design and Cost Estimation of Solar Tower Power Plants, Sustainability 12, no. 20: 8708. https://doi.org/10.3390/su12208708

2019

O. Behar, D. Sbarbaro, A. Marzo, L. Moran (2019)
A simplified methodology to estimate solar irradiance and atmospheric turbidity from ambient temperature and relative humidity
Renewable and Sustainable Energy Reviews, Volume 116, December 2019, Article 109310 https://doi.org/10.1016/j.rser.2019.109310

2018

F. Lotero, F. Couenne, B. Maschke and D. Sbarbaro, “Energy-based control of a distributed parameter bi-zone model with moving interface”, International Journal of Control, https://doi.org/10.1080/00207179.2018.1424939  

2017

H. Ramirez; B. Maschke; D. Sbarbaro, "Partial Stabilization of Input-Output Contact Systems on a Legendre Submanifold," in IEEE Transactions on Automatic Control , Published on line. doi: 10.1109/TAC.2016.2572403 

Lotero, F., F. Couenne, B. Maschke, and D. Sbarbaro. “Distributed Parameter Bi- Zone Model with Moving Interface of an Extrusion Process and Experimental Validation.”, Mathematical and Computer Modelling of Dynamical Systems, 2017, 1–19. https://doi.org/10.1080/13873954.2016.1278393.

S. Vergara, D. Sbarbaro and T. A. Johansen, “Accurate position estimation methods based on electrical impedance tomography measurements”, Measurement Science and Technology, Volume 28, Number 8, 2017.

2016

M. Parada, D. Sbarbaro, R. A. Borges & P. L. D. Peres (2017) Robust PI and PID design for first- and second-order processes with zeros, time-delay and structured uncertainties, International Journal of Systems Science, 48:1, 95-106, DOI: 10.1080/00207721.2016.1160453 

Sophie Tarbouriech , Alexandre Seuret, João Manoel Gomes da Silva Jr., Daniel Sbarbaro, "Observer-based event-triggered control co-design for linear systems," in IET Control Theory & Applications, vol. 10, no. 18, pp. 2466-2473, 12 12 2016. doi: 10.1049/iet-cta.2016.0167

Carvajal,R. C. and Arias,L. E. and Garces,H. O. and Sbarbaro,D. G., “Comparative analysis of a principal component analysis-based and an artificial neural network-based method for baseline removal”, Applied Spectroscopy, 70(4), 604-617. 

M. Montorfano, D. Sbarbaro and L. Morán, "Economic and Technical Evaluation of Solar-Assisted Water Pump Stations for Mining Applications: A Case of Study," in IEEE Transactions on Industry Applications, vol. 52, no. 5, pp. 4454-4459, Sept.-Oct. 2016.

J. A. Rohten; J. R. Espinoza; J. A. Muñoz; D. G. Sbarbaro; M. A. Perez; P.  E. Melín; J. J. Silva; E. E. Espinosa, "Enhanced Predictive Control for a Wide Time-Variant Frequency Environment," in IEEE Transactions on Industrial Electronics, vol. 63, no. 9, pp. 5827-5837, Sept. 2016.. doi: 10.1109/TIE.2016.2541625

2015

J. V. Flores; J. M. Gomes da Silva,, Jr.; D. Sbarbaro; M. C. Turner; A. T. Salton, Antiwindup Design for Zero-Phase Repetitive Controllers, ASME J. Dyn. Sys., Meas., Control. 2015; 137(9):094503-094503-5. 

D. Sbarbaro, M. Vauhkonen, T. A. Johansen, State estimation and inverse problems in Electrical Impedance Tomography: observability, convergence and regularization, Inverse Problems, Vol. 31, Id. 045004, 2015 (doi:10.1088/0266-5611/31/4/045004)

2014

A.Nissinen, D. Sbarbaro, L.M.  Heikkinen, M. Vauhkonen.“Reduced forward models in electrical impedance tomography with probe geometry”, Inverse Problems in Science and Engineering, available on-line doi:10.1080/17415977.2013.872098.

Carlos Toro , L. Arias, S.N Torres, Daniel Sbárbaro. Flame spectra-temperature estimation based on a color imaging camera and a spectral reconstruction technique, Applied Optics, Vol. 53, Issue. 28, pp. 6351-6361 (2014)

2013

Fernando Betancourt, Fernando Concha, Daniel Sbarbaro. Simple mass balance controllers for continuous sedimentation.  Computers & Chemical Engineering, Volume 54, 11 July 2013, Pages 34-4

Hector Ramirez, Bernhard Maschke, Daniel Sbarbaro. Feedback equivalence of input– output contact systems.  Systems & Control Letters, Volume 62, Issue 6, June 2013, Pages 475-481 

Hector Ramirez, Bernhard Maschke, Daniel Sbarbaro. Irreversible port-Hamiltonian systems: A general formulation of irreversible processes with application to the CSTR.  Chemical Engineering Science, Volume 89, 15 February 2013, Pages 223-234

Villarroel, F.; Espinoza, J.R.; Rojas, C.A.; Rodriguez, J.; Rivera, M.; Sbarbaro, D. Multiobjective Switching State Selector for Finite-States Model Predictive Control Based on Fuzzy Decision Making in a Matrix Converter. Industrial Electronics, IEEE Transactions on , vol.60, no.2, pp.589-599, Feb. 2013

2012

T. Glaria, D. Sbarbaro, T.A. Johansen, R. Peña. Observer design for linear processes model with implicit nonlinear output map. Journal of Process Control, Volume 22, Issue 9, October 2012, Pages 1647-1654

L. Arias L, D. Sbarbaro, S. Torres. Removing baseline flame's spectrum by using advanced recovering spectrum techniques. Appl Opt. 2012 Sep 1;51(25):6111-6. doi: 10.1364/AO.51.006111.

Munoz, J.A.; Espinoza, J.R.; Baier, C.R.; Moran, L.A.; Espinosa, E.E.; Melin, P.E.; Sbarbaro, D.G. Design of a Discrete-Time Linear Control Strategy for a Multicell UPQC. IEEE Transactions on Industrial Electronics, vol.59, no.10, pp.3797-3807, Oct. 2012

J.V. Flores, J. M. Gomes da Silva, L.F. Alves, D. Sbarbaro. Repetitive Control Design for MIMO Systems With Saturating Actuators. IEEE Transactions on Automatic Control, Volume: 57 Issue: 1 Pages: 192-198,  2012.

2011

L. Arias, S. Torres, D. Sbarbaro, P. Ngendakumana. On the spectral bands measurements for combustion monitoring. Combustion and Flame, Volume 158, Issue 3, March 2011, Pages 423-433

H. Garces, D. Sbarbaro. Outliers detection in environmental monitoring databases. Engineering Applications of Artificial Intelligence, Volume 24, Issue 2, March 2011, Pages 341-349

G. Carvajal, M. Figueroa, D. Sbarbaro, W. Valenzuela. Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. Neural Networks, IEEE Transactions on Volume: 22 , Issue: 7, Page(s): 1046 – 1060, 2011

2010

Carles Batlle, Romeo Ortega, Daniel Sbarbaro, Hector Ramírez. Corrigendum to “On the control of non-linear processes: An IDA-PBC approach” (H. Ramírez et al., Journal of Process Control 19 (1) (2009) 405–414). Journal of Process Control, Volume 20, Issue 1, January 2010, Pages 121-122

2009

Héctor Ramírez, Daniel Sbarbaro, Romeo Ortega. On the control of non-linear processes: An IDA–PBC approach. Journal of Process Control, Volume 19, Issue 3, March 2009, Pages 405-414

D.Sbarbaro, M. Tomizuka, L. de la Barra. “Repetitive control system under actuator saturation and windup prevention”. Journal of Dynamics Systems Measurement and Control- Transactions of the ASME. 131(4), 2009.

2008

R.. Valenzuela, D. Carrasco, D.  Sbarbaro. “Robust Sheet Tension Estimation for Paper Winders”. IEEE Transaction on Industry  Applications. 44(6), 2008, 1937-1949.

L. Arias, S. Torres, D. Sbarbaro; et al. “Photodiode-based sensor for flame sensing and combustion-process monitoring”. Applied Optics. 47(29), 2008, 5541-5549.   

D. Sbarbaro, P. Ascencio, P. Espinoza, F. Mujica, G. Cortes. “Adaptive soft-sensors for on-line particle size estimation in wet grinding circuits”. Control Engineering Practice. 16(2), 2008, 171-178.

2007

M. Maldonado, D. Sbarbaro, E. Lizama. “Optimal control of a rougher flotation process based on dynamic programming”. Minerals Engineering. 20(3), 2007, 221-232.

D. Sbarbaro, R. Ortega. “Averaging level control: An approach based on mass balance”.  Journal of Process Control. 17(7), 2007, 621-629.

2006

R. Silva, D. Sbarbaro, B.A. Leon de la Barra. “Closed-loop process identification under PI control: A time domain approach”. Ind. Eng. Chem. Res. 45(13), 2006, 4671-4678.

D. Sbarbaro , T.A., Johansen. “Analysis of artificial neural networks for pattern-based adaptive control, neural networks”.  IEEE Transactions on Neural Networks. 17(5), 2006, 1184-1193

D. Sbarbaro.  “Dual adaptive ANN controllers based on Wiener Models for controlling stable nonlinear systems”. Lecture Notes in Computer Science. 4131, 2006, 860-867.

2005

D. Sbarbaro, R. Murray-Smith. “Self-tuning control of non-linear systems using Gaussian Process Prior Models”. Lecture Notes in Computer Science. 3355, 2005, 140–157.

D. Sbarbaro, G. Carvajal, “Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Networks”. Lecture Notes in Computer Science. 3697, 2005, 451-456.

D.Sbarbaro, J. Barriga, H. Valenzuela, G. Cortez, “A Multi-Input Single-Output Smith Predictor for Feeders Control in SAG Grinding Plants”. IEEE Transaction on Control System Technology. 13(6), 2005, 1069-1075.

Conferences