A fundamental problem in control theory is to automatically generate the control input that acts on the behaviour of such system in the best possible way. This is done by minimizing a cost criterion or performance index which penalises i) the deviations of key measurements from their desired values and ii) the control effort, because energy has its price: this is in particular the goal of optimal control.
The research focuses on the analysis of the main theoretical properties of this class of systems, both in the continuous and in the discrete time cases, with possible applications in the context of drug treatment modeling, fluid systems and thermal models. Ongoing projects are the following:
Broadly speaking, a fundamental problem in control theory is to automatically generate the control input that acts on the behaviour of such system in the best possible way. This is done by minimizing a cost criterion or performance index which penalises i) the deviations of key measurements from their desired values and ii) the control effort, because energy has its price: this is in particular the goal of optimal control.
Networks are the skeletons of real-world complex systems. They are used to describe various real systems, ranging from biological to technological systems, made up of many simple yet richly interacting units. Analyzing the structural and dynamical properties of networks is fundamental to explain the emergence of complex phenomena and to guide the design of control algorithms for manipulating or optimizing the behavior of real systems.
The research focuses on networked control systems which are systems composed of physically distributed smart agents that can sense the environment, act on it, and communicate with one other through a communication network to achieve a common goal.
The research focuses on the analysis of the main theoretical properties of this class of systems, with possible applications in the context of genetic regulation networks. Ongoing projects are the following:
Control approaches are pervasive and they are an essential intelligent component of many advanced industrial technologies.
Over the course of the years, the automatic control group in Padova have specialized in many applicative areas where advanced methodological approaches meet with impactful applications.
In this research area the group is supported by many companies, both SMEs and multinational companies, in different industries like automotive, home appliances, HVAC, oil & gas, packaging, semiconductor manufacturing and many more
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