J. R. Alique

发表

Fuzzy Control of Spindle Torque in High-Speed Milling Processes

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

Advanced Controls for New Machining Processes

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

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 .

DESIGNING A COST-EFFECTIVE SUPERVISORY CONTROL SYSTEM FOR MACHINING PROCESSES

Ruben Morales-Menendez, J. R. Alique, Antonio J. Vallejo, 2007 .

Distributed numerical control system (DNC) using a local area network (LAN) with polling protocol and bus topology

J. R. Alique, A. Vilches, J. A. Barragán-Pérez, 1985 .

Neural networks and statistical based models for surface roughness prediction

Ruben Morales-Menendez, Ciro A. Rodríguez, J. R. Alique, 2006 .

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

A. Alique, J. R. Alique, R. E. Haber, 2003, Comput. Ind..

Surface Roughness Modeling Based on Surface Roughness Feature Concept for High Speed Machining

J. R. Alique, Ciro A. Rodríguez, M. Correa, 2005 .

Fuzzy model of cutting process on a milling machine

S. Ros, J. R. Alique, C. Rodriguez, 1994 .

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

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

Supervisión inteligente de un proceso complejo basada en un modelo neuronal. Un caso real de aplicación.

Rodolfo E. Haber Guerra, A. Alique, J. R. Alique, 2006 .

Fuzzy Control of Spindle Torque in High-Speed Milling Processes

Steven Y. Liang, J. R. Alique, Rodolfo Haber-Haber, 2006 .

A new analytical–experimental method for the identification of stability lobes in high-speed milling

Jose E. Jiménez, J. R. Alique, E. Solis, 2004 .

Using circle criteria for verifying asymptotic stability in PI-like fuzzy control systems: application to the milling process

Rodolfo E. Haber Guerra, R. H. Haber, A. Alique, 2003 .

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 AND COMPUTER SIMULATION FOR THE PREDICTION OF FORCES IN HIGH-SPEED MACHINING PROCESSES

J. R. Alique, A. Alique, S. Ros, 2005 .

A Bayesian network model for surface roughness prediction in the machining process

Concha Bielza, José R. Alique, J. R. Alique, 2008, Int. J. Syst. Sci..

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

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

Feedback Linearization Using Neural Networks: Application to an Electromechanical Process

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

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).

Embedded Fuzzy Control System: Application to an Electromechanical System

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

A Soft Computing System to Perform Face Milling Operations

Emilio Corchado, José R. Alique, José Ramón Villar, 2009, IWANN.

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.

Intelligent monitoring and decision control system for peripheral milling process

Rubén Morales-Menéndez, José R. Alique, J. R. Alique, 2008, 2008 IEEE International Conference on Systems, Man and Cybernetics.

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

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