Automatic control systems are found in almost all aspects of contemporary society, from financial systems to highly specialized production processes. Some of the motivating factors behind this are: the wide variety of sensors and actuators, the lowering cost of faster computers and processors, and the advances in control techniques. Consequently, the complexity of control systems has increased considerably, making it necessary to establish reliable methods that cover the entire lifecycle of the systems, including their conceptualization, design, implementation, maintenance, and operation.
The program in automatic control aims to train high-level professionals in the areas of automatic control and automation with formal solid foundations which will allow them to approach scientific research projects as well as technological development and related topics.
The program is directed towards engineers in the areas of electrical, mechanical, and chemical engineering and similar disciplines, as well as for those with a Bachelor’s degree in basic sciences with an academic background in automatic control and skills for carrying out innovative projects. It is recommended that the candidate have knowledge of classic control theory and some of the recent programming languages.
The specialist in automatic control will be able to formally analyze any kind of system in order to establish relevant properties which will allow the design of a reliable control strategy for an efficient supervision system. S/he will also have the necessary knowledge for bringing these strategies to an advanced stage of implementation.
Area of work
Graduates of the automatic control specialization will be able to develop a career in any of the following areas:
• Basic research and as a teacher in supervision and automatic control systems.
• Development of automatic control and automation systems using digital devices.
• Study and improvement of instrumentation and industrial control loops.
• Application of control techniques in both the production and the financial sectors.
• Computational vision, robotic systems, and medical robotics.