Description

The system modelling and simulation is very useful for many knowledge areas. Being able to simulate mathematically the real behavior of a system brings many advantages in its design and control at multiple levels, for example, in security and economic level.  The mathematical tools used are very similar: linear regressions, conditional probability or systems identification; but the applications are very different, from the thermal simulation of a building to evaluate if the legislation in isolation has been complied to the detection of a pathology analysing the heart rate. Our team is working in various areas of application of the system modelling and identification.  In the detection of the proper functioning of an industrial system of closed-loop. We aim to detect the proper functioning of the control systems of a closed-loop plant for the possible redesign of its controllers.  This would increase the quality of the final product, the security of the system and energy saving. Another area is the flexible system (civilian structures) modelling . There is equipment available to carry out tests on structures which allow to shape it and determine its safety. Moreover, with the obtained models, controllers can be designed (passive, semi active, active, hybrids...) to avoid the vibrations of the system. Besides, we work on various models of biomedical engineering. With the analysis of various biomedical signals, like the variability of the heart rate or sweating, models to predict some pathologies are being made. Prediction deserves special attention, with an effort test, of the vegetative neuropathology in patients with diabetes and the prediction of the risk of an outbreak of aneurysms of the abdominal aorta based on the definition of biomechanical determinants of different natures (biological, structural and geometrical) and scales (temporal and dimensional) in the molecular, cellular, tissue and organ level. 

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