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Abstract

Sergio Enrique Pinto Castillo 編集者 at IgMin Research

私たちの使命は、学際的な対話を促進し、広範な科学領域にわたる知識の進展を加速することです.

Biography

Sergio Enrique Pinto Castillo He obtained the B.Eng. of Communications and Electronics Engineering Degree in the National Polytechnic Institute, in Mexico City, Mexico, 1992. He obtained his M.Sc. in Electronic Engineering from National Center of Research and Technological Development (Cenidet), in Morelos, Mexico, in 2001.  He also obtained his PhD. Degree in Electronics and Electrical Engineering from the University of Strathclyde, Scotland, UK in 2012.  He has been working with Control Systems, Artificial Intelligence, Mechatronics and Robotics Applications since 2003.  

Actually, he obtained the research sponsorships in order to develop the following research projects:  Modeling and Control of a Container Cranes and Fault Tolerant Control. Systems Biologically Inspired Applied on Mechatronic Systems.  He is currently the Director of Research, Development and Innovation of the International Maritime University of Panama (UMIP), in the Republic of Panama.  Also, He is working such as Lecturer at the “Universidad de Panama”, in the Republic of Panama.

   He is the author of the following book: New fuzzy control architectures applied to industrial applications.  His previous research interests were: Control Systems, Artificial Neural Network, Fuzzy Systems and Neuro-Fuzzy Systems.  He current researches interest are: Control Systems, Artificial Neural Network, Fuzzy Systems, Neuro-Fuzzy Systems, Intelligent Agents, Fault Tolerant Control Systems Biologically Inspired, Mechatronic, Robotic Systems, Maritime Industry Applications.    He is developing the Project of the Fault Tolerant Control Systems Biologically Inspired applied to the Mechatronic Systems sponsored by the “Secretaria Nacional de Ciencia, Tecnología e Innovación (SENACYT)”.   Hi is the current Director of Research, Development and Innovation at the International Maritime University of Panama.

Research Interest

Control Systems, Fault Tolerant Control Systemas, Mechatronics and Robotics Engineering, Hybrid Electric Vehicles, Artificial Intelligence