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José R. Alique
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2010 – 2019
- 2010
- [j8]Agustín Gajate, Rodolfo E. Haber
, Pastora I. Vega, José R. Alique:
A transductive neuro-fuzzy controller: application to a drilling process. IEEE Trans. Neural Networks 21(7): 1158-1167 (2010)
2000 – 2009
- 2009
- [c15]Agustín Gajate, Rodolfo E. Haber
Transductive-Weighted Neuro-Fuzzy Inference System for Tool Wear Prediction in a Turning Process. HAIS 2009: 113-120 - [c14]Raquel Redondo
A Soft Computing System to Perform Face Milling Operations. IWANN (2) 2009: 1282-1291 - 2008
- [j7]Maritza Correa
A Bayesian network model for surface roughness prediction in the machining process. Int. J. Syst. Sci. 39(12): 1181-1192 (2008) - [c13]Antonio J. Vallejo
Intelligent monitoring and decision control system for peripheral milling process. SMC 2008: 1620-1625 - 2007
- [j6]Rodolfo E. Haber
Fuzzy Logic-Based Torque Control System for Milling Process Optimization. IEEE Trans. Syst. Man Cybern. Part C 37(5): 941-950 (2007) - [c12]Rodolfo E. Haber
Optimal Fuzzy Control for a Time-Delay System Using Simulated Annealing: An Application to High-Performance Drilling. ICNC (5) 2007: 639-643 - [c11]Rodolfo E. Haber, Rodolfo Haber-Haber, Raúl M. del Toro, José R. Alique:
Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process. IWANN 2007: 1155-1162 - [c10]Antonio Vallejo Jr.
Multi Sensor Data Fusion for High Speed Machining. MICAI 2007: 1162-1172 - 2005
- [j5]Rodolfo E. Haber, José R. Alique, Angel Alique, Rodolfo Haber-Haber:
Controlling a complex electromechanical process on the basis of a neurofuzzy approach. Future Gener. Comput. Syst. 21(7): 1083-1095 (2005) - [c9]Rodolfo E. Haber, José R. Alique, Salvador Ros
Modeling and Simulation of High-Speed Machining Processes Based on Matlab/Simulink. International Conference on Computational Science (3) 2005: 627-634 - [c8]Rodolfo Haber-Guerra, Rodolfo Haber-Haber, José R. Alique:
Controlling Force Based on Radial Fuzzy Functions in High-Speed Machining Processes. IWANN 2005: 1230-1237 - 2004
- [j4]Rodolfo E. Haber
Nonlinear internal model control using neural networks: an application for machining processes. Neural Comput. Appl. 13(1): 47-55 (2004) - [c7]Jose Emilio Jimnez, Rodolfo E. Haber
A MIMO fuzzy-control system for high-speed machining processes. Results of a case study. FUZZ-IEEE 2004: 901-905 - 2003
- [j3]Rodolfo E. Haber
Embedded fuzzy-control system for machining processes: Results of a case study. Comput. Ind. 50(3): 353-366 (2003) - [c6]Rodolfo E. Haber, José R. Alique, Angel Alique, Rodolfo Haber-Haber:
Nonlinear Internal Model Control Using Neural Networks and Fuzzy Logic: Application to an Electromechanical Process. International Conference on Computational Science 2003: 351-360 - [c5]Rodolfo E. Haber, José R. Alique, Angel Alique, Jose E. Jiménez:
Embedded Fuzzy Control System: Application to an Electromechanical System. International Conference on Computational Science 2003: 812-821 - [c4]Rodolfo E. Haber, José R. Alique, Angel Alique, Ramón Uribe-Etxebarria, Javier Hernández:
Embedded Fuzzy Control System in an Open Computerized Numerical Control; A Technology Transfer Case-Study. IFSA 2003: 442-449 - [c3]José R. Alique, Rodolfo E. Haber, Angel Alique:
Feedback Linearization Using Neural Networks: Application to an Electromechanical Process. IWANN (2) 2003: 758-765 - 2002
- [c2]Rodolfo E. Haber, Angel Alique, José R. Alique:
Tool Wear Prediction in Milling Using Neural Networks. ICANN 2002: 807-812 - [c1]Rodolfo E. Haber, Rodolfo Haber-Haber, Angel Alique, Salvador Ros
Dynamic Model of the Machining Process on the Basis of Neural Networks: From Simulation to Real Time Application. International Conference on Computational Science (3) 2002: 574-583
1990 – 1999
- 1998
- [j2]Rodolfo Elías Haber-Guerra
Toward intelligent machining: hierarchical fuzzy control for the end milling process. IEEE Trans. Control. Syst. Technol. 6(2): 188-199 (1998) - 1996
- [j1]Rodolfo E. Haber, José R. Alique, Salvador Ros
Fuzzy Supervisory Control of End Milling Process. Inf. Sci. 89(1): 95-106 (1996)
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