Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm. - Peter J. Gawthrop; Daniel Sbarbaro (Complex Syst., 1990)

Neural networks for control systems - A survey. - Kenneth J. Hunt; Daniel G. Sbarbaro; Rafal Zbikowski; Peter J. Gawthrop (Autom., 1992)

Emulator-based control and internal model control: Complementary approaches to robust control design. - Peter J. Gawthrop; Richard W. Jones; Daniel G. Sbarbaro (Autom., 1996)

Adaptive predictive controllers based on orthonormal series representation. - Daniel Sbarbaro; Nikolai M. Filatov; Heinz Unbehauen (ECC, 1999)

A nonlinear wind velocity observer for a small wind energy system. - Daniel Sbarbaro; Rubén Peña (CDC, 2000)

Applications of radial basis network technology to process control. - Daniel G. Sbarbaro; Juan Segovia; Sandro Alcozer; José Gonzales (IEEE Trans. Control. Syst. Technol., 2000)

An adaptive sliding-mode controller for discrete nonlinear systems. - David Muñoz; Daniel Sbarbaro (IEEE Trans. Ind. Electron., 2000)

An EKF based on an enhanced model for parameter estimation in bioprocesses. - P. Ascendo; Daniel Sbarbaro (ECC, 2001)

Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models. - Daniel Sbarbaro; Roderick Murray-Smith (European Summer School on Multi-AgentControl, 2003)

Optimizing control of over-actuated linear systems with nonlinear output maps via control Lyapunov functions. - Tor Arne Johansen; Daniel Sbarbaro (ECC, 2003)

A pattern based strategy for using multidimensional sensors in process control. - Daniel Sbarbaro; P. Espinoza; J. Araneda (Comput. Chem. Eng., 2003)

Multivariable Generalized Minimum Variance Control Based on Artificial Neural Networks and Gaussian Process Models. - Daniel Sbarbaro; Roderick Murray-Smith; Arturo Valdes (ISNN (2), 2004)

An adaptive fuzzy hybrid state observer for bioprocesses. - Pedro Ascencio; Daniel Sbarbaro; Sebastião Feyo de Azevedo (IEEE Trans. Fuzzy Syst., 2004)

Averaging Level Control of Multiple Tanks: A Passivity Based Approach. - Daniel Sbarbaro; Romeo Ortega (CDC/ECC, 2005)

A Robust Footprint Detection Using Color Images and Neural Networks. - Marco Mora; Daniel Sbarbaro (CIARP, 2005)

Supervision of Control Valves in Flotation Circuits Based on Artificial Neural Network. - Daniel Sbarbaro; Gonzalo Carvajal (ICANN (2), 2005)

A Neural Network for Nonuniformity and Ghosting Correction of Infrared Image Sequences. - Sergio N. Torres; César San Martín; Daniel Sbarbaro; Jorge E. Pezoa (ICIAR, 2005)

Lyapunov-based optimizing control of nonlinear blending processes. - Tor Arne Johansen; Daniel Sbarbaro (IEEE Trans. Control. Syst. Technol., 2005)

A multi-input-single-output smith predictor for feeders control in SAG grinding plants. - Daniel Sbarbaro; Johnatan Barriga; Hector Valenzuela; Guillermo Cortes (IEEE Trans. Control. Syst. Technol., 2005)

Dual Adaptive ANN Controllers Based on Wiener Models for Controlling Stable Nonlinear Systems. - Daniel Sbarbaro (ICANN (1), 2006)

Analysis of Artificial Neural Networks for Pattern-Based Adaptive Control. - Daniel Sbarbaro; Tor Arne Johansen (IEEE Trans. Neural Networks, 2006)

Automatic Diagnosis of the Footprint Pathologies Based on Neural Networks. - Marco Mora; Mary Carmen Jarur; Daniel Sbarbaro (ICANNGA (2), 2007)

Automatic Diagnosis of Foot Plant Pathologies: A Neural Networks Approach. - Marco Mora; Mary Carmen Jarur; Daniel Sbarbaro; Leopoldo Pavesi (ISNN (2), 2007)

Robust periodic reference tracking for uncertain linear systems subject to control saturations. - Jeferson Vieira Flores; João Manoel Gomes da Silva; Daniel G. Sbarbaro (CDC, 2009)

Robust repetitive control with saturating actuators: a LMI approach. - Jeferson Vieira Flores; João Manoel Gomes da Silva; Luís F. A. Pereira; Daniel G. Sbarbaro (ACC, 2010)

On the Hamiltonian formulation of the CSTR. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (CDC, 2010)

About structure preserving feedback of controlled contact systems. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (CDC/ECC, 2011)

Observer design for nonlinear processes with Wiener structure. - Tomás Ángel Glaría López; Daniel Sbarbaro (CDC/ECC, 2011)

On feedback invariants of controlled conservative contact systems. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (ICCA, 2011)

Observer design for neutralization processes with wiener structure and implicit output map. - Tomás Ángel Glaría López; Daniel Sbarbaro (ICCA, 2011)

Outliers detection in environmental monitoring databases. - Hugo O. Garces; Daniel Sbarbaro (Eng. Appl. Artif. Intell., 2011)

Analysis and Compensation of the Effects of Analog VLSI Arithmetic on the LMS Algorithm. - Gonzalo Carvajal; Miguel E. Figueroa; Daniel Sbarbaro; Waldo Valenzuela (IEEE Trans. Neural Networks, 2011)

Automated parasites detection in clams by transillumination imaging and pattern classification. - Miguel E. Soto; Pablo Coelho; Jose Soto; Sergio N. Torres; Daniel Sbarbaro (Image Processing: Machine Vision Applications, 2012)

Repetitive Control Design for MIMO Systems With Saturating Actuators. - Jeferson Vieira Flores; João Manoel Gomes da Silva; Luís Fernando Alves Pereira; Daniel G. Sbarbaro (IEEE Trans. Autom. Control., 2012)

Design of a Discrete-Time Linear Control Strategy for a Multicell UPQC. - Javier A. Muñoz; José R. Espinoza; Carlos R. Baier; Luis Morán 001; Eduardo E. Espinosa; Pedro E. Melin; Daniel G. Sbarbaro (IEEE Trans. Ind. Electron., 2012)

Observer-based stabilization of uncertain linear systems with recycle: An LMI approach. - Miguel Parada; Daniel Sbarbaro; Renato Alves Borges; Pedro L. D. Peres (ECC, 2013)

Comparative analysis of manifold learning algorithms for tomographic sensor processing. - Cristian Morales; Fernando Lotero; Daniel Sbarbaro (IECON, 2013)

Predictive control for static power converters working in wide frequency ranges. - Jaime Addin Rohten; José R. Espinoza; Felipe Villarroel; Javier A. Muñoz; Carlos R. Baier; Pedro E. Melin; Daniel Sbarbaro (IECON, 2013)

Simple mass balance controllers for continuous sedimentation. - Fernando Betancourt; Fernando Concha; Daniel Sbarbaro (Comput. Chem. Eng., 2013)

Modelling and control of multi-energy systems: An irreversible port-Hamiltonian approach. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (Eur. J. Control, 2013)

Feedback equivalence of input-output contact systems. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (Syst. Control. Lett., 2013)

Multiobjective Switching State Selector for Finite-States Model Predictive Control Based on Fuzzy Decision Making in a Matrix Converter. - Felipe Villarroel; José R. Espinoza; Christian A. Rojas; José R. Rodríguez; Marco Rivera; Daniel G. Sbarbaro (IEEE Trans. Ind. Electron., 2013)

Controller design based on spectral sensors for process applications. - Daniel Sbarbaro (CCA, 2014)

An event-triggered observer based control strategy for SISO systems. - Daniel G. Sbarbaro; Sophie Tarbouriech; João Manoel Gomes da Silva (CDC, 2014)

Resonant control for H-Bridge topologies based on single-phase Current-Source Inverters. - Jaime Addin Rohten; Pedro E. Melin; José R. Espinoza; José J. Silva; Eduardo E. Espinosa; Javier A. Muñoz; Daniel Sbarbaro (ISIE, 2014)

Economic and technical evaluation of solar assisted water pump stations for mining applications: A case of study. - Mario Montorfano; Daniel Sbarbaro; Luis Morán 001 (IAS, 2015)

Operating region and control for power converters connected to a variable frequency and amplitude voltage grid supply. - Jaime Addin Rohten; José R. Espinoza; José J. Silva; Javier A. Muñoz; Daniel Sbarbaro; Carlos R. Baier; Eduardo E. Espinosa (ICIT, 2015)

Observer-based event-triggered control: A discrete-time approach. - Leonardo B. Groff; Luciano G. Moreira; João Manoel Gomes da Silva; Daniel Sbarbaro (ACC, 2016)

Dynamic output power optimization in hybrid PV/T panels. - Daniel Sbarbaro; Rubén Peña (IECON, 2016)

Enhanced Predictive Control for a Wide Time-Variant Frequency Environment. - Jaime Addin Rohten; José R. Espinoza; Javier A. Muñoz; Daniel G. Sbarbaro; Marcelo A. Pérez; Pedro E. Melin; José J. Silva; Eduardo E. Espinosa (IEEE Trans. Ind. Electron., 2016)

Robust PI and PID design for first- and second-order processes with zeros, time-delay and structured uncertainties. - Miguel Parada; Daniel Sbarbaro; Renato Alves Borges; Pedro Luis Dias Peres (Int. J. Syst. Sci., 2017)

Partial Stabilization of Input-Output Contact Systems on a Legendre Submanifold. - Hector Ramirez Estay; Bernhard Maschke; Daniel Sbarbaro (IEEE Trans. Autom. Control., 2017)

On the Effect of Sampled-Data Hold and Discretization in Signal-to-Noise Ratio Constrained Control. - Alejandro J. Rojas; Hernan Haimovich; Daniel Sbarbaro (ACC, 2018)

Electrical energy consumption characterization of open-pit mining and mineral processing operations towards the use of renewable energy sources. - Luis Morán 001; Daniel Sbarbaro; Franco Ortega; José R. Espinoza (IAS, 2019)

Fast MPC Algorithm for a Grid Tied Photovoltaic System based on a Multilevel Inverter. - José J. Silva; José R. Espinoza; Daniel Sbarbaro; Luis Morán 001; Jaime Addin Rohten; Luis Vaccaro (IECON, 2019)

Energy-based control of a distributed parameter bi-zone model with moving interface. - Fernando Lotero; Françoise Couenne; Bernhard Maschke; Daniel Sbarbaro (Int. J. Control, 2019)

Fast-Model Predictive Control for a Grid-Tie Photovoltaic System. - José J. Silva; José R. Espinoza; Luis Morán 001; Daniel Sbarbaro; Jaime Addin Rohten; Miguel A. Torres; Rodrigo Méndez (IECON, 2020)

Generalized Predictive PI Controller: Analysis and Design for Time Delay Systems. - Oscar A. Briones; Alejandro J. Rojas; Daniel Sbarbaro (ACC, 2021)

Topologies and Control Strategies of Partial Power DC/DC Converters for Photovoltaic Systems. - Nicolas Weldt; José R. Espinoza; Daniel Sbarbaro; Luis Morán 001; Samir Kouro (IECON, 2021)

A new discretization method of model equations for predictive power converter control applications based on input-state linearization. - Felipe Villarroel; José R. Espinoza; Marcelo A. Pérez; Daniel G. Sbarbaro-Hofer; Roberto O. Ramírez; Carlos R. Baier (IECON, 2022)

Generalized Predictive Proportional Integral Controller Design for Unstable Plant Models with Long-Dead Times. - Alejandro J. Rojas; Daniel Sbarbaro (CoDIT, 2023)

Adaptive Kalman Filter for On-Line Spectroscopic Sensor Corrections. - Daniel Sbarbaro; Tor Arne Johansen; Jorge Yañez (CoDIT, 2023)

Energy Demand Optimization in a Seawater Pumping Plant by Energy Hybridization with Solar Energy and Batteries. - Franco Cekalovic; Daniel Sbarbaro; Luis Morán 001 (IAS, 2023)

Turbidity Control in Sedimentation Columns by Direction Dependant Models. - Jesus-Pablo Toledo-Zucco; Daniel Sbarbaro; João Manoel Gomes da Silva Jr. (CoRR, 2023)

Special issue on Latin-American computational intelligence. - Pablo A. Estévez; Daniel Sbarbaro; Millaray Curilem (Neural Comput. Appl., 2023)

Analysis of the Impact of Multiple Truck Operation on Mining Trolley Systems. - Nicolas Sanhueza; Rubén Peña; Daniel Sbarbaro (IAS, 2024)

New Requirements for Mine Electrical Distribution Systems in the Energy Transition of Traction Systems. - Sofia Santander; Luis A. Morán; Mauricio Ortiz; Daniel Sbarbaro (IAS, 2024)

Photovoltaic Power Injection Control Based on a Virtual Synchronous Machine Strategy. - Miguel Arias Albornoz; Jaime Addin Rohten; José R. Espinoza; Jorge Varela; Daniel Sbarbaro; Yandi G. Landera (Sensors, 2024)

Event-triggered control for output regulation of discrete-time systems. - Éverton dos Santos Viana; João Manoel Gomes da Silva Jr.; Luciano G. Moreira; Daniel Sbarbaro (Eur. J. Control, 2025)

Turbidity Control in Sedimentation Columns by Direction-Dependent Models. - Jesus-Pablo Toledo-Zucco; Daniel Sbarbaro; João Manoel Gomes da Silva (IEEE Trans. Control. Syst. Technol., 2025)