SYSTEM IDENTIFICATION, OPTIMIZATION AND LEARNING

This research topic includes: Kernel-based identification of dynamical systems Neural Networks with stability guarantees for the identification of dynamical systems Optimization and learning algorithms 1. Kernel-based identification of dynamical systems In the last decade, a cross-fertilization began between the System Identification and the Statistical Lea...
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FAULT DIAGNOSIS AND CONDITION MONITORING

Fault diagnosis is an established field of control systems. However, due to the intrinsic characteristics of the processes being monitored, fault detection and health monitoring methodologies need to be adapted for the particular problem at hand. The aim of this research area is to develop fault detection and condition assessment algorithms for industrial applications, drawing ...
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MODEL PREDICTIVE CONTROL

This research area considers methodological developments of Model Predictive Control (MPC) schemes, with application to artificial pancreas control.
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