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
Info AggiuntiveControl of Autonomous Multi-Agent Systems - Part 1 (held by Prof. Francesco Delli Priscoli) - A.Y. 2021/2022
Info AggiuntiveMoodle page for Control of Communication and Energy Networks course, A.Y. 2021/2022
Info AggiuntiveThe 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.
Info AggiuntiveThe 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
Info AggiuntiveIt provides advan
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
Info AggiuntiveExamples 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