Rodolfo Haber Guerra
Rodolfo Haber Guerra
Centro de Automatica y Robotica (UPM-CSIC)
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Cited by
Cited by
Self-adaptive systems: A survey of current approaches, research challenges and applications
FD Macías-Escrivá, R Haber, R Del Toro, V Hernandez
Expert Systems with Applications 40 (18), 7267-7279, 2013
An investigation of tool-wear monitoring in a high-speed machining process
RE Haber, JE Jiménez, CR Peres, JR Alique
Sensors and Actuators A: Physical 116 (3), 539-545, 2004
Power-steering control architecture for automatic driving
JE Naranjo, C González, R García, T De Pedro, RE Haber
IEEE Transactions on Intelligent Transportation Systems 6 (4), 406-415, 2005
Tool wear monitoring using neuro-fuzzy techniques: a comparative study in a turning process
A Gajate, R Haber, R Del Toro, P Vega, A Bustillo
Journal of Intelligent Manufacturing 23 (3), 869-882, 2012
Optimal fuzzy control system using the cross-entropy method. A case study of a drilling process
RE Haber, RM del Toro, A Gajate
Information Sciences 180 (14), 2777-2792, 2010
Intelligent process supervision for predicting tool wear in machining processes
RE Haber, A Alique
Mechatronics 13 (8-9), 825-849, 2003
An optimal fuzzy control system in a network environment based on simulated annealing. An application to a drilling process
RE Haber, R Haber-Haber, A Jiménez, R Galán
Applied Soft Computing 9 (3), 889-895, 2009
Multi-objective optimization based on an improved cross-entropy method. A case study of a micro-scale manufacturing process
G Beruvides, R Quiza, RE Haber
Information Sciences 334, 161-173, 2016
Fuzzy model and hierarchical fuzzy control integration: an approach for milling process optimization
CR Peres, REH Guerra, RH Haber, A Alique, S Ros
Computers in Industry 39 (3), 199-207, 1999
Nonlinear internal model control using neural networks: an application for machining processes
RE Haber, JR Alique
Neural Computing & Applications 13 (1), 47-55, 2004
Automatic Selection of Optimal Parameters Based on Simple Soft-Computing Methods: A Case Study of Micromilling Processes
I la Fé-Perdomo, G Beruvides, R Quiza, R Haber, M Rivas
IEEE Transactions on Industrial Informatics 15 (2), 800-811, 2019
Sensoring systems and signal analysis to monitor tool wear in microdrilling operations on a sintered tungsten–copper composite material
G Beruvides, R Quiza, R del Toro, RE Haber
Sensors and Actuators A: Physical 199, 165-175, 2013
Lyapunov stable control of robot manipulators: A fuzzy self-tuning procedure
R Kelly, R Haber, RE Haber-Guerra, F Reyes
Intelligent Automation & Soft Computing 5 (4), 313-326, 1999
Toward intelligent machining: hierarchical fuzzy control for the end milling process
RE Haber, CR Peres, A Alique, S Ros, C Gonzalez, JR Alique
IEEE Transactions on Control Systems Technology 6 (2), 188-199, 1998
Hybrid Incremental Modeling Based on Least Squares and Fuzzy -NN for Monitoring Tool Wear in Turning Processes
F Penedo, RE Haber, A Gajate, RM del Toro
IEEE transactions on industrial informatics 8 (4), 811-818, 2012
System identification of the high performance drilling process for network-based control
RM del Toro, MC Schmittdiel, RE Haber-Guerra, R Haber-Haber
ASME 2007 International Design Engineering Technical Conferences and …, 2007
Obstacle Recognition Based on Machine Learning for On-Chip LiDAR Sensors in a Cyber-Physical System
F Castaño, G Beruvides, RE Haber, A Artuñedo
Sensors 17 (9), 2017
Optimal tuning of a networked linear controller using a multi-objective genetic algorithm and its application to one complex electromechanical process
D Martin, R del Toro, R Haber, J Dorronsoro
International Journal of Innovative Computing, Information and Control 5 (10 …, 2009
A neural network-based model for the prediction of cutting force in milling process. A progress study on a real case
A Alique, RE Haber, RH Haber, S Ros, C Gonzalez
Proceedings of the 2000 IEEE International Symposium on Intelligent Control …, 2000
Artificial cognitive control system based on the shared circuits model of sociocognitive capacities. A first approach
AS Boza, RH Guerra, A Gajate
Engineering Applications of Artificial Intelligence 24 (2), 209-219, 2011
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