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Daniel G. Sbarbaro-Hofer
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2020 – today
- 2024
- [j24]Miguel Arias Albornoz, Jaime Addin Rohten, José R. Espinoza
, Jorge Varela, Daniel Sbarbaro
Photovoltaic Power Injection Control Based on a Virtual Synchronous Machine Strategy. Sensors 24(13): 4039 (2024) - 2023
- [j23]Pablo A. Estévez
Special issue on Latin-American computational intelligence. Neural Comput. Appl. 35(13): 9267-9268 (2023) - [c41]Daniel Sbarbaro, Tor Arne Johansen, Jorge Yañez:
Adaptive Kalman Filter for On-Line Spectroscopic Sensor Corrections. CoDIT 2023: 2109-2114 - [c40]Alejandro J. Rojas, Daniel Sbarbaro:
Generalized Predictive Proportional Integral Controller Design for Unstable Plant Models with Long-Dead Times. CoDIT 2023: 2378-2383 - [c39]Franco Cekalovic, Daniel Sbarbaro, Luis Morán:
Energy Demand Optimization in a Seawater Pumping Plant by Energy Hybridization with Solar Energy and Batteries. IAS 2023: 1-5 - [i1]Jesus-Pablo Toledo-Zucco, Daniel Sbarbaro, João Manoel Gomes da Silva Jr.:
Turbidity Control in Sedimentation Columns by Direction Dependant Models. CoRR abs/2305.18605 (2023) - 2022
- [c38]Felipe Villarroel, José R. Espinoza, Marcelo A. Pérez, Daniel G. Sbarbaro-Hofer, Roberto O. Ramírez, Carlos R. Baier
A new discretization method of model equations for predictive power converter control applications based on input-state linearization. IECON 2022: 1-5 - 2021
- [c37]Oscar A. Briones, Alejandro J. Rojas, Daniel Sbarbaro
Generalized Predictive PI Controller: Analysis and Design for Time Delay Systems. ACC 2021: 2509-2514 - [c36]Nicolas Weldt, José R. Espinoza
Topologies and Control Strategies of Partial Power DC/DC Converters for Photovoltaic Systems. IECON 2021: 1-6 - 2020
- [c35]José J. Silva, José R. Espinoza
Fast-Model Predictive Control for a Grid-Tie Photovoltaic System. IECON 2020: 3212-3217
2010 – 2019
- 2019
- [j22]Fernando Lotero, Françoise Couenne
Energy-based control of a distributed parameter bi-zone model with moving interface. Int. J. Control 92(9): 1993-2006 (2019) - [c34]Luis Morán
Electrical energy consumption characterization of open-pit mining and mineral processing operations towards the use of renewable energy sources. IAS 2019: 1-6 - [c33]José J. Silva, José R. Espinoza
Fast MPC Algorithm for a Grid Tied Photovoltaic System based on a Multilevel Inverter. IECON 2019: 3989-3994 - 2018
- [c32]Alejandro J. Rojas, Hernan Haimovich, Daniel Sbarbaro
On the Effect of Sampled-Data Hold and Discretization in Signal-to-Noise Ratio Constrained Control. ACC 2018: 5712-5717 - 2017
- [j21]Miguel Parada, Daniel Sbarbaro
Robust PI and PID design for first- and second-order processes with zeros, time-delay and structured uncertainties. Int. J. Syst. Sci. 48(1): 95-106 (2017) - [j20]Hector Ramirez Estay
Partial Stabilization of Input-Output Contact Systems on a Legendre Submanifold. IEEE Trans. Autom. Control. 62(3): 1431-1437 (2017) - 2016
- [j19]Jaime Addin Rohten, José R. Espinoza
Enhanced Predictive Control for a Wide Time-Variant Frequency Environment. IEEE Trans. Ind. Electron. 63(9): 5827-5837 (2016) - [c31]Leonardo B. Groff
Observer-based event-triggered control: A discrete-time approach. ACC 2016: 4245-4250 - [c30]Daniel Sbarbaro, Rubén Peña:
Dynamic output power optimization in hybrid PV/T panels. IECON 2016: 114-119 - 2015
- [c29]Mario Montorfano, Daniel Sbarbaro, Luis Morán
Economic and technical evaluation of solar assisted water pump stations for mining applications: A case of study. IAS 2015: 1-5 - [c28]Jaime Addin Rohten, José R. Espinoza
Operating region and control for power converters connected to a variable frequency and amplitude voltage grid supply. ICIT 2015: 1094-1099 - 2014
- [c27]Daniel Sbarbaro:
Controller design based on spectral sensors for process applications. CCA 2014: 463-467 - [c26]Daniel G. Sbarbaro
An event-triggered observer based control strategy for SISO systems. CDC 2014: 2789-2794 - [c25]Jaime Addin Rohten, Pedro E. Melin, José R. Espinoza
Resonant control for H-Bridge topologies based on single-phase Current-Source Inverters. ISIE 2014: 1508-1513 - 2013
- [j18]Fernando Betancourt
Simple mass balance controllers for continuous sedimentation. Comput. Chem. Eng. 54: 34-43 (2013) - [j17]Hector Ramirez Estay
Modelling and control of multi-energy systems: An irreversible port-Hamiltonian approach. Eur. J. Control 19(6): 513-520 (2013) - [j16]Hector Ramirez Estay
Feedback equivalence of input-output contact systems. Syst. Control. Lett. 62(6): 475-481 (2013) - [j15]Felipe Villarroel, José R. Espinoza
Multiobjective Switching State Selector for Finite-States Model Predictive Control Based on Fuzzy Decision Making in a Matrix Converter. IEEE Trans. Ind. Electron. 60(2): 589-599 (2013) - [c24]Miguel Parada, Daniel Sbarbaro, Renato Alves Borges
Observer-based stabilization of uncertain linear systems with recycle: An LMI approach. ECC 2013: 2627-2632 - [c23]Cristian Morales, Fernando Lotero, Daniel Sbarbaro:
Comparative analysis of manifold learning algorithms for tomographic sensor processing. IECON 2013: 3898-3903 - [c22]Jaime Addin Rohten, José R. Espinoza
Predictive control for static power converters working in wide frequency ranges. IECON 2013: 5830-5835 - 2012
- [j14]Jeferson Vieira Flores
Repetitive Control Design for MIMO Systems With Saturating Actuators. IEEE Trans. Autom. Control. 57(1): 192-198 (2012) - [j13]Javier A. Muñoz, José R. Espinoza
Design of a Discrete-Time Linear Control Strategy for a Multicell UPQC. IEEE Trans. Ind. Electron. 59(10): 3797-3807 (2012) - [c21]Miguel E. Soto, Pablo Coelho
Automated parasites detection in clams by transillumination imaging and pattern classification. Image Processing: Machine Vision Applications 2012: 83000F - 2011
- [j12]Hugo O. Garces
Outliers detection in environmental monitoring databases. Eng. Appl. Artif. Intell. 24(2): 341-349 (2011) - [j11]Gonzalo Carvajal, Miguel E. Figueroa
Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. IEEE Trans. Neural Networks 22(7): 1046-1060 (2011) - [c20]Hector Ramirez Estay
About structure preserving feedback of controlled contact systems. CDC/ECC 2011: 2305-2310 - [c19]Tomás Ángel Glaría López, Daniel Sbarbaro
Observer design for nonlinear processes with Wiener structure. CDC/ECC 2011: 2311-2316 - [c18]Hector Ramirez Estay
On feedback invariants of controlled conservative contact systems. ICCA 2011: 495-500 - [c17]Tomás Ángel Glaría López, Daniel Sbarbaro
Observer design for neutralization processes with wiener structure and implicit output map. ICCA 2011: 1287-1291 - 2010
- [c16]Jeferson Vieira Flores, João Manoel Gomes da Silva, Luís F. A. Pereira, Daniel G. Sbarbaro:
Robust repetitive control with saturating actuators: a LMI approach. ACC 2010: 4259-4264 - [c15]Hector Ramirez Estay
On the Hamiltonian formulation of the CSTR. CDC 2010: 3301-3306
2000 – 2009
- 2009
- [c14]Jeferson Vieira Flores
Robust periodic reference tracking for uncertain linear systems subject to control saturations. CDC 2009: 7960-7965 - 2007
- [c13]Marco Mora, Mary Carmen Jarur
Automatic Diagnosis of the Footprint Pathologies Based on Neural Networks. ICANNGA (2) 2007: 107-114 - [c12]Marco Mora, Mary Carmen Jarur
Automatic Diagnosis of Foot Plant Pathologies: A Neural Networks Approach. ISNN (2) 2007: 1150-1158 - 2006
- [j10]Daniel Sbarbaro
Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control. IEEE Trans. Neural Networks 17(5): 1184-1193 (2006) - [c11]Daniel Sbarbaro
Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems. ICANN (1) 2006: 860-867 - 2005
- [j9]Tor Arne Johansen, Daniel Sbarbaro
Lyapunov-based optimizing control of nonlinear blending processes. IEEE Trans. Control. Syst. Technol. 13(4): 631-638 (2005) - [j8]Daniel Sbarbaro
A multi-input-single-output smith predictor for feeders control in SAG grinding plants. IEEE Trans. Control. Syst. Technol. 13(6): 1069-1075 (2005) - [c10]Daniel Sbarbaro, Romeo Ortega:
Averaging Level Control of Multiple Tanks: A Passivity Based Approach. CDC/ECC 2005: 7384-7389 - [c9]Marco Mora, Daniel Sbarbaro
A Robust Footprint Detection Using Color Images and Neural Networks. CIARP 2005: 311-318 - [c8]Daniel Sbarbaro, Gonzalo Carvajal:
Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network. ICANN (2) 2005: 451-456 - [c7]Sergio N. Torres, César San Martín, Daniel Sbarbaro
A Neural Network for Nonuniformity and Ghosting Correction of Infrared Image Sequences. ICIAR 2005: 1208-1216 - 2004
- [j7]Pedro Ascencio, Daniel Sbarbaro
An adaptive fuzzy hybrid state observer for bioprocesses. IEEE Trans. Fuzzy Syst. 12(5): 641-651 (2004) - [c6]Daniel Sbarbaro
Multivariable Generalized Minimum Variance Control Based on Artificial Neural Networks and Gaussian Process Models. ISNN (2) 2004: 52-58 - 2003
- [j6]Daniel Sbarbaro
A pattern based strategy for using multidimensional sensors in process control. Comput. Chem. Eng. 27(12): 1925-1943 (2003) - [c5]Daniel Sbarbaro
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models. European Summer School on Multi-AgentControl 2003: 140-157 - [c4]Tor Arne Johansen, Daniel Sbarbaro:
Optimizing control of over-actuated linear systems with nonlinear output maps via control Lyapunov functions. ECC 2003: 324-329 - 2001
- [c3]P. Ascendo, Daniel Sbarbaro:
An EKF based on an enhanced model for parameter estimation in bioprocesses. ECC 2001: 3816-3821 - 2000
- [j5]Daniel G. Sbarbaro
Applications of radial basis network technology to process control. IEEE Trans. Control. Syst. Technol. 8(1): 14-22 (2000) - [j4]David Muñoz, Daniel Sbarbaro
An adaptive sliding-mode controller for discrete nonlinear systems. IEEE Trans. Ind. Electron. 47(3): 574-581 (2000) - [c2]Daniel Sbarbaro, Rubén Peña:
A nonlinear wind velocity observer for a small wind energy system. CDC 2000: 3086-3087
1990 – 1999
- 1999
- [c1]Daniel Sbarbaro, Nikolai M. Filatov, Heinz Unbehauen:
Adaptive predictive controllers based on orthonormal series representation. ECC 1999: 1357-1362 - 1996
- [j3]Peter J. Gawthrop, Richard W. Jones, Daniel G. Sbarbaro
Emulator-based control and internal model control: Complementary approaches to robust control design. Autom. 32(8): 1223-1227 (1996) - 1992
- [j2]Kenneth J. Hunt, Daniel G. Sbarbaro
Neural networks for control systems - A survey. Autom. 28(6): 1083-1112 (1992) - 1990
- [j1]Peter J. Gawthrop, Daniel Sbarbaro:
Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm. Complex Syst. 4(1) (1990)
Coauthor Index
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last updated on 2024-09-10 02:12 CEST by the dblp team
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