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Modelado y simulación del proceso de fresado a alta velocidad en MATLAB-SIMULINK

Revista de metalurgia (Madrid), 2008-04, Vol.44 (2), p.176-188

2008

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Tendencia actual y desarrollos futuros de nuevos controles basados en la lógica borrosa y su aplicación al mecanizado a alta velocidad

Revista de metalurgia (Madrid), 2002-04, Vol.38 (2), p.124-133

2002

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Embedded fuzzy-control system for machining processes: Results of a case study

Computers in industry, 2003-04, Vol.50 (3), p.353-366

2003

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Power-steering control architecture for automatic driving

IEEE transactions on intelligent transportation systems, 2005-12, Vol.6 (4), p.406-415

2005

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Modelo matemático para la predicciÓn del esfuerzo de corte en el mecanizado a alta velocidad

Revista de metalurgia (Madrid), 2004-08, Vol.40 (4), p.247-258

2004

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An investigation of tool-wear monitoring in a high-speed machining process

Sensors and actuators. A. Physical., 2004-10, Vol.116 (3), p.539-545

2004

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Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

Artificial Neural Nets Problem Solving Methods, 2003, p.758-765

2003

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Networked sensing for high-speed machining processes based on CORBA

Sensors and actuators. A. Physical., 2005-04, Vol.119 (2), p.418-426

2005

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Hybrid Incremental Modeling Based on Least Squares and Fuzzy K-NN for Monitoring Tool Wear in Turning Processes

IEEE transactions on industrial informatics, 2012-11, Vol.8 (4), p.811-818

2012

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Modelling and simulation of the high-speed milling process based on MATLAB-SIMULINK

Revista de metalurgia (Madrid), 2008-03, Vol.44 (2), p.176-188

2008

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Modelling and simulation of the high-speed milling process based on MATLAB-SIMULINK

Revista de metalurgia (Madrid), 2008-04, Vol.44 (2)

2008

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Fuzzy Logic-Based Torque Control System for Milling Process Optimization

IEEE transactions on human-machine systems, 2007-09, Vol.37 (5), p.941-950

2007

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Toward intelligent machining: hierarchical fuzzy control for the end milling process

IEEE transactions on control systems technology, 1998-03, Vol.6 (2), p.188-199

1998

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Cutting force model for high speed machining process

Revista de metalurgia (Madrid), 2004-07, Vol.40, p.247-258

2004

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Current trends and future developments of new control systems based on fuzzy logic and their application to high speed machining

Revista de metalurgia (Madrid), 2002-03, Vol.38 (2), p.124-133

2002

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Embedded Fuzzy Control System: Application to an Electromechanical System

Computational Science - ICCS 2003, 2003, Vol.2658, p.812-821

2003

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A MIMO fuzzy-control system for high-speed machining processes. Results of a case study

2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542), 2004, Vol.2, p.901-905 vol.2

2004

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Intelligent process supervision for predicting tool wear in machining processes

Mechatronics (Oxford), 2003-10, Vol.13 (8), p.825-849

2003

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Special section: “Soft-computing and advanced techniques in new algorithmic approaches to existing application areas”

Future generation computer systems, 2005-07, Vol.21 (7), p.1015-1018

Haber, Rodolfo E.

2005

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Nonlinear internal model control using neural networks: an application for machining processes

Neural computing & applications, 2004-04, Vol.13 (1), p.47-55

2004

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Controlling a complex electromechanical process on the basis of a neurofuzzy approach

Future generation computer systems, 2005-07, Vol.21 (7), p.1083-1095

2005

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Fuzzy model and hierarchical fuzzy control integration: an approach for milling process optimization

Computers in industry, 1999-08, Vol.39 (3), p.199-207

1999

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Dynamic model of the machining process on the basis of neural networks: From simulation to real time application

Lecture notes in computer science, 2002

2002

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Modeling and Simulation of High-Speed Machining Processes Based on Matlab/Simulink

Computational Science – ICCS 2005, 2005, p.627-634

2005

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Modeling of Communication Delays Aiming at the Design of Networked Supervisory and Control Systems. A First Approach

Computational Science – ICCS 2005, 2005, p.1056-1059

2005

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Modelado y simulación del proceso de fresado a alta velocidad en MATLAB-SIMULINK

Tendencia actual y desarrollos futuros de nuevos controles basados en la lógica borrosa y su aplicación al mecanizado a alta velocidad

Embedded fuzzy-control system for machining processes: Results of a case study

Power-steering control architecture for automatic driving

Modelo matemático para la predicciÓn del esfuerzo de corte en el mecanizado a alta velocidad

An investigation of tool-wear monitoring in a high-speed machining process

Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

Networked sensing for high-speed machining processes based on CORBA

Hybrid Incremental Modeling Based on Least Squares and Fuzzy K-NN for Monitoring Tool Wear in Turning Processes

Modelling and simulation of the high-speed milling process based on MATLAB-SIMULINK

Modelling and simulation of the high-speed milling process based on MATLAB-SIMULINK

Fuzzy Logic-Based Torque Control System for Milling Process Optimization

Toward intelligent machining: hierarchical fuzzy control for the end milling process

Cutting force model for high speed machining process

Current trends and future developments of new control systems based on fuzzy logic and their application to high speed machining

Embedded Fuzzy Control System: Application to an Electromechanical System

A MIMO fuzzy-control system for high-speed machining processes. Results of a case study

Intelligent process supervision for predicting tool wear in machining processes

Special section: “Soft-computing and advanced techniques in new algorithmic approaches to existing application areas”

Nonlinear internal model control using neural networks: an application for machining processes

Controlling a complex electromechanical process on the basis of a neurofuzzy approach

Fuzzy model and hierarchical fuzzy control integration: an approach for milling process optimization

Dynamic model of the machining process on the basis of neural networks: From simulation to real time application

Modeling and Simulation of High-Speed Machining Processes Based on Matlab/Simulink

Modeling of Communication Delays Aiming at the Design of Networked Supervisory and Control Systems. A First Approach

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