The main part of my research is devoted to the conception and implementation of model-based diagnostic systems for physical processes and large-scale systems. I have a particular interest in the monitoring and supervision of pipelines and water distribution networks.
Model-based fault diagnosis involves a set of tasks that range from the formulation of the model to the possible execution of a prognostic system. Some of these task are: mathematical modeling, parameter (system) identification, model validation, design of fault detection & isolation algorithms and fault tolerant control.
I work in all these tasks by using tools from the control theory such as state observers, nonlinear control and Lyapunov analysis together with mathematical methods for physics and engineering.