Research areas
CTC research lines are focused on the fields of automation, control engineering and artificial intelligence. These disciplines are currently applied to many sectors. Specifically, CTC addresses the use of intelligent techniques in various domains, such as medicine, industry, cybersecurity, environmental radioactivity and energy efficiency, among others.
Its activity lines include data analysis and processing, intelligent and advanced control, system optimisation and modelling, anomaly detection in industrial processes, as well as virtual and intelligent instrumentation.
The three main areas of our research activity are briefly described below.
Intelligent modelling, optimisation and control systems
Modelling of industrial processes using soft computing techniques applied to value prediction and parameter optimisation.
Development of control systems for industrial processes combining classical control techniques with advanced methods based on intelligent techniques.
The designed control systems are initially validated through the models generated in order to, finally, carry out their final implementation in industrial processes.
Fault and anomaly detection using traditional and intelligent techniques
Development of intelligent systems able to detect the early appearance of any anomalous event occurring in industrial processes.
To this purpose, unsupervised (clustering, Hebbian learning), semi-supervised (projections, determination of hyperspheres with calculation of convex spaces, etc.) and supervised (neural networks, support vector machines, etc.) learning techniques are used, as well as hybrid systems.
Design of new sensors, robust sensors and virtual sensors
Development of virtual and real sensor models.
Application of intelligent techniques and data imputation methods to predict the behaviour of a sensor and obtain new ‘virtual’ variables derived from real measurements available in an industrial process.