Rodolfo E. Haber

发表

Surface roughness modeling and optimization of tungsten–copper alloys in micro-milling processes

Gerardo Beruvides, Fernando Castaño, Ramón Quiza, 2016 .

A Transductive Neuro-Fuzzy Controller: Application to a Drilling Process

Rodolfo E. Haber, Agustín Gajate, Pastora I. Vega, 2010, IEEE Transactions on Neural Networks.

Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process

Rodolfo E. Haber, Michael Schmittdiel, Angel Alique, 2007, IWANN.

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

Rodolfo E. Haber, R. M. del Toro-Matamoros, J. Pamies, 2008 .

Time-To-Failure Modelling in On-Chip LiDAR Sensors for Automotive Applications

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2017 .

CORBA-Based Open Platform for Processes Monitoring. An Application to a Complex Electromechanical Process

Rodolfo E. Haber, Angel Alique, Ramón Galán, 2004, International Conference on Computational Science.

Fuzzy Control of Spindle Torque in High-Speed Milling Processes

Steven Y. Liang, Rodolfo E. Haber, A. Alique, 2006 .

Conductance sensor for micromachining. A case study on monitoring tool-workpiece contact

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2015, 2015 IEEE International Conference on Industrial Technology (ICIT).

Multi-objective optimization based on an improved cross-entropy method. A case study of a micro-scale manufacturing process

Gerardo Beruvides, Rodolfo E. Haber, Ramón Quiza Sardiñas, 2016, Inf. Sci..

A Transductive Neuro-Fuzzy Force Control: An Ethernet-Based Application to a Drilling Process

Rodolfo E. Haber, Agustín Gajate, Pastora I. Vega, 2009, ICONIP.

A driverless vehicle demonstration on motorways and in urban environments

Joshué Pérez, Rodolfo E. Haber, Jorge Villagra, 2015 .

Sensor Reliability in Cyber-Physical Systems Using Internet-of-Things Data: A Review and Case Study

Rodolfo E. Haber, Fernando Castaño, Alberto Villalonga, 2019, Remote. Sens..

Advanced Controls for New Machining Processes

Rodolfo E. Haber, J. R. Alique, R. Haber, 2009 .

A classic solution for the control of a high-performance drilling process

Rodolfo E. Haber, Raúl M. del Toro, Michael Charles Schmittdiel, 2007 .

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

Rodolfo E. Haber, A. Alique, S. Ros, 2002 .

A Distributed Intelligent Monitoring System Applied to a Micro-scale Turning Process

Rodolfo E. Haber, Michael Schmittdiel, Raúl M. del Toro, 2009, IWANN.

Networked Fuzzy Control System for a High-Performance Drilling Process

Rodolfo E. Haber, Ángel Escribano, Javier Escribano, 2007 .

Towards the Adoption of Cyber-Physical Systems of Systems Paradigm in Smart Manufacturing Environments

Gerardo Beruvides, Rodolfo E. Haber, Wael M. Mohammed, 2018, 2018 IEEE 16th International Conference on Industrial Informatics (INDIN).

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

Rodolfo E. Haber, José R. Alique, J. R. Alique, 2004, Neural Computing & Applications.

Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process

Rodolfo E. Haber, Agustín Gajate, Raúl M. del Toro, 2010, Inf. Sci..

Power-steering control architecture for automatic driving

Rodolfo E. Haber, José Eugenio Naranjo, Carlos González, 2005, IEEE Transactions on Intelligent Transportation Systems.

Correlation of the holes quality with the force signals in a microdrilling process of a sintered tungsten-copper alloy

Gerardo Beruvides, Fernando Castaño, Ramón Quiza, 2014 .

A Simple Multi-Objective Optimization Based on the Cross-Entropy Method

Gerardo Beruvides, Rodolfo E. Haber, Ramón Quiza, 2017, IEEE Access.

Self-adaptive systems: A survey of current approaches, research challenges and applications

Rodolfo E. Haber, Vicente Hernández, Raúl M. del Toro, 2013, Expert Syst. Appl..

Self-Tuning Method for Increased Obstacle Detection Reliability Based on Internet of Things LiDAR Sensor Models

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2018, Sensors.

Nonlinear Internal Model Control Using Neural Networks and Fuzzy Logic: Application to an Electromechanical Process

Rodolfo E. Haber, José R. Alique, Angel Alique, 2003, International Conference on Computational Science.

Artificial cognitive control with self-x capabilities: A case study of a micro-manufacturing process

Gerardo Beruvides, Rodolfo E. Haber, Raúl M. del Toro, 2015, Comput. Ind..

A self-learning strategy for artificial cognitive control systems

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2015, 2015 IEEE 13th International Conference on Industrial Informatics (INDIN).

Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process

Rodolfo E. Haber, José R. Alique, Raúl M. del Toro, 2007, IWANN.

Hierarchical Control System for Complex Dynamical Plants

Rodolfo E. Haber, Yuri V. Mitrishkin, R. Haber, 2016 .

Sensoring systems and signal analysis to monitor tool wear in microdrilling operations on a sintered tungsten–copper composite material

Gerardo Beruvides, Ramón Quiza, Rodolfo E. Haber, 2013 .

Fuzzy Logic-Based Torque Control System for Milling Process Optimization

Rodolfo E. Haber, José R. Alique, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

Detecting Nano-Scale Vibrations in Rotating Devices by Using Advanced Computational Methods

Rodolfo E. Haber, Michael Schmittdiel, Raúl M. del Toro, 2010, Sensors.

Embedded Fuzzy Control System: Application to an Electromechanical System

Rodolfo E. Haber, José R. Alique, Angel Alique, 2003, International Conference on Computational Science.

Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process

Rodolfo E. Haber, Agustín Gajate, Pastora I. Vega, 2010, Journal of Intelligent Manufacturing.

A fuzzy-genetic system to predict the cutting force in microdrilling processes

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2014, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society.

Industrial cyber-physical system for condition-based monitoring in manufacturing processes

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2018, 2018 IEEE Industrial Cyber-Physical Systems (ICPS).

Consensus-Based Cooperative Control Based on Pollution Sensing and Traffic Information for Urban Traffic Networks

Rodolfo E. Haber, Raúl M. del Toro, Antonio Artuñedo, 2017, Sensors.

Application of hybrid incremental modeling for predicting surface roughness in micromachining processes

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2014, 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

Artificial intelligence-based modelling and optimization of microdrilling processes

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2014, 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES).

Tool Wear Prediction in Milling Using Neural Networks

Rodolfo E. Haber, José R. Alique, Angel Alique, 2002, ICANN.

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

Rodolfo E. Haber, 2005, Future Gener. Comput. Syst..

Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

Rodolfo E. Haber, José R. Alique, Angel Alique, 2009, IWANN.

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

Rodolfo E. Haber, José R. Alique, Rodolfo Haber-Haber, 2005, International Conference on Computational Science.

Connectivity control in WSN based on fuzzy logic control

Rodolfo E. Haber, José-Fernán Martínez, Vicente Hernández, 2014, SIGBED.

Self-Tuning Method for Increasing Reliability in Obstacle Detection based on Internet-of-Things LiDAR Sensor Models

Gerardo Beruvides, Fernando Castaño, Rodolfo E. Haber, 2018 .

Advanced Co-simulation Framework for Cooperative Maneuvers Among Vehicles

Rodolfo E. Haber, Raúl M. del Toro, Jorge Godoy, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Online detection of run out in microdrilling of tungsten and titanium alloys

Gerardo Beruvides, Fernando Castaño, Ramón Quiza, 2014 .

Cloud-Based Industrial Cyber–Physical System for Data-Driven Reasoning: A Review and Use Case on an Industry 4.0 Pilot Line

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2020, IEEE Transactions on Industrial Informatics.

Consensus-Based Cooperative Control Approach Applied to Urban Traffic Networks

Rodolfo E. Haber, Raúl M. del Toro, Antonio Artunedo, 2016 .

Hierarchical fuzzy control of the milling process with a self-tuning algorithm

Rodolfo E. Haber, R. H. Haber, A. Alique, 2000, Proceedings of the 2000 IEEE International Symposium on Intelligent Control. Held jointly with the 8th IEEE Mediterranean Conference on Control and Automation (Cat. No.00CH37147).

Dynamic Model of the Machining Process on the Basis of Neural Networks: From Simulation to Real Time Application

Rodolfo E. Haber, José R. Alique, Angel Alique, 2002, International Conference on Computational Science.

Co-simulation Framework for on-Chip LIDAR Sensors in a Cyber-physical System

Gerardo Beruvides, Fernando Castaño, Rodolfo E. Haber, 2017 .

Fuzzy Supervisory Control of End Milling Process

Rodolfo E. Haber, José R. Alique, Salvador Ros Torrecillas, 1996, Inf. Sci..

Towards Sensor Reliability Using Internet-of-Things LiDAR Data in a Cyber-Physical System

Rodolfo E. Haber, Fernando Castaño, Alberto Villalonga, 2019 .

A neural network-based model for the prediction of cutting force in milling process. A progress study on a real case

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

Rodolfo E. Haber, Agustín Gajate, Francisco Penedo, 2012, IEEE Transactions on Industrial Informatics.

Monitoring tool usage on the basis of sensory information in micro-drilling operations

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2016, 2016 IEEE International Conference on Industrial Technology (ICIT).

Condition-based Monitoring Architecture for CNC Machine Tools based on Global Knowledge

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2018 .

Intelligent Models for Predicting the Force and Vibrations in Microdrilling Processes

Gerardo Beruvides, Fernando Castaño, Ramón Quiza, 2014 .

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

Rodolfo E. Haber, Jose E. Jiménez, J. R. Alique, 2004 .

Computational Intelligence for Simulating a LiDAR Sensor

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2018, Sensor Systems Simulations.

1st International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS 2015)

Danny Weyns, Mark Klein, Rodolfo E. Haber, 2015, 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering.

Chapter 8 – Automated Driving

Rodolfo E. Haber, Leopoldo Acosta, José Eugenio Naranjo, 2018 .

Embedded Fuzzy Control System in an Open Computerized Numerical Control; A Technology Transfer Case-Study

Rodolfo E. Haber, José R. Alique, Angel Alique, 2003, IFSA.

The fuzzy Kalman filter: Improving its implementation by reformulating uncertainty representation

Rodolfo E. Haber, Fernando Matía, Biel Piero E. Alvarado Vasquez, 2021, Fuzzy Sets Syst..

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

Rodolfo E. Haber, José R. Alique, Angel Alique, 2005, Future Gener. Comput. Syst..

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

Rodolfo E. Haber, Angel Alique, Ramón Galán, 2005, International Conference on Computational Science.

Proceedings of the First International Workshop on Software Engineering for Smart Cyber-Physical Systems

Danny Weyns, Rodolfo E. Haber, Tomas Bures, 2015, ICSE 2015.

Smart Sensing of Pavement Temperature Based on Low-Cost Sensors and V2I Communications

Rodolfo E. Haber, Fernando Matía, Jorge Godoy, 2018, Sensors.

Coping with Complexity When Predicting Surface Roughness in Milling Processes: Hybrid Incremental Model with Optimal Parametrization

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2017, Complex..

Optimal Fuzzy Control for a Time-Delay System Using Simulated Annealing: An Application to High-Performance Drilling

Rodolfo E. Haber, José R. Alique, Angel Alique, 2007, Third International Conference on Natural Computation (ICNC 2007).

Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process

Rodolfo E. Haber, Agustín Gajate, Pastora I. Vega, 2009, HAIS.

Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2017, Sensors.

7th IEEE International Conference on Software Engineering (ICSE), 2015 IEEE/ACM 3 (Volume:2 )

Danny Weyns, Rodolfo E. Haber, Mark Klein, 2015, ICSE 2015.

Quality monitoring of complex manufacturing systems on the basis of model driven approach

Rodolfo E. Haber, Wael M. Mohammed, Miroslaw Nejman, 2020 .

An optimal fuzzy control system in a network environment based on simulated annealing. An application to a drilling process

Rodolfo E. Haber, Ramón Galán, Agustín Jiménez, 2009, Appl. Soft Comput..

Characterization of tool-workpiece contact during the micromachining of conductive materials

Fernando Castaño, Rodolfo E. Haber, Raúl M. del Toro, 2017 .

Intelligent Models for Predicting the Thrust Force and Perpendicular Vibrations in Microdrilling Processes

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Eccentricity Estimation in Ultra-Precision Rotating Devices Based on a Neuro-Fuzzy Model

Rodolfo E. Haber, Raúl Mario del Toro Matamoros, 2017 .

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

Rodolfo E. Haber, José R. Alique, J. R. Alique, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Hybrid Incremental Model for Imbalance Detection in Ultra-high Precision Rotating Devices

Rodolfo E. Haber, Raúl Mario del Toro Matamoros, 2017 .

Fuzzy Logic Based Drilling Force Control in a Network-Based Application

Rodolfo E. Haber, A. Alique, Rodolfo Haber-Haber, 2007 .

Fault pattern identification in multi-stage assembly processes with non-ideal sheet-metal parts based on reinforcement learning architecture

Gerardo Beruvides, Rodolfo E. Haber, Alberto Villalonga, 2018 .

Towards Sustainability of Manufacturing Processes by Multiobjective Optimization: A Case Study on a Submerged Arc Welding Process

Rodolfo E. Haber, Marcelino Rivas, Ramón Quiza, 2020, IEEE Access.

A decision-making framework for dynamic scheduling of cyber-physical production systems based on digital twins

Luca Fumagalli, Marco Macchi, Rodolfo E. Haber, 2021, Annu. Rev. Control..

Needs, Requirements and a Concept of a Tool Condition Monitoring System for the Aerospace Industry

Rodolfo E. Haber, Miroslaw Nejman, Joanna Kossakowska, 2021, Sensors.

Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process

Gerardo Beruvides, Ramón Quiza, Rodolfo E. Haber, 2021, Comput. Ind..

Conductance sensing for monitoring micromechanical machining of conductive materials

Gerardo Beruvides, Rodolfo E. Haber, Fernando Castaño, 2015 .