Submitted by zennaro2 on
Machine Learning is about endowing artificial systems the ability to learn from experience. Our research in this field spans a broad range of topics and includes building models from measured data as well as learning actions from "experience".
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
Submitted by zennaro2 on
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:
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
Submitted by zennaro2 on
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.
Submitted by zennaro2 on
The research focuses on:
Submitted by zennaro2 on
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:
