The course provides methodologies for the analysis of linear and nonlinear discrete time and sampled dynamics, the design of digital controllers with a major focus on linear systems, and implementation on embedded microcontrollers. The student will b
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Control of Autonomous Multi-Agent Systems - Part 1 (held by Prof. Francesco Delli Priscoli) - A.Y. 2021/2022
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Moodle page for Control of Communication and Energy Networks course, A.Y. 2021/2022
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The course aims to provide a background on concepts and methodologies of automatic controls in process control, particularly Internal Model Control and Model Predictive Control, and to apply them to suitably modeled examples of industrial processes.
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The course is generally addressed to students from the Master of Science in Control Engineering (La Sapienza, University of Rome), albeit all students with a general background on linear systems theory and control is welcome.

It provides advan
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Parte I
Examples of multi-agent scenarios in communication, energy, transport, health networks/systems derived from research projects funded by the European Union. Comparison between centralized and distributed architectures. Extension of the meth
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