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| Academic Year |
2023/2024 |
| Name |
Dott. - MI (1380) Ingegneria dell'Informazione / Information Technology |
| Programme Year |
1 |
| ID Code |
061663 |
| Course Title |
MODEL PREDICTIVE CONTROL |
| Course Type |
MONO-DISCIPLINARY COURSE |
| Credits (CFU / ECTS) |
5.0 |
| Course Description |
"REFERENCE AREA: SYSTEMS AND CONTROL
SSD: ING-INF/04 AUTOMATICA
SUBJECT AND PROGRAMME: The course describes the main properties of Model Predictive Control (MPC), the most widely used and successful control method in the process industry and nowadays also applied in distribution networks, coordination of autonomous systems, automotive, and in many other fields of application.
First, the MPC basic problem formulation is introduced, along with its main properties. Also, the tools used for guaranteeing theoretical properties (i.e., recursive feasibility and convergence) are discussed in a simplified framework. Then, the most popular industrial MPC formulations will be described.
Advanced problem formulations will be described in details. More specifically, we will deal with:
- robust and stochastic MPC formulations, with special focus on analytic and scenario-based methods;
- explicit MPC and its approximated implementations;
- Hybrid MPC, to include logic constraints and integer decision variables;
- economic MPC, that guarantees plant-wide optimality;
- distributed and decentralized MPC implementations.
Constrained optimization-based state estimation will be also considered and a prototype Moving Horizon Estimation algorithm will be presented.
An overview of successful application case studies of different MPC-based algorithms will be presented.
Finally, the main computational tools for MPC implementations in the linear and nonlinear setting will be presented. A dedicated computer session will be devoted to implementation details, possibly considering selected case studies." |
| Scientific-Disciplinary Sector (SSD)
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Alphabetical group
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Name
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Teaching Assignment Details
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From (included)
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To (excluded)
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A
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ZZZZ
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Farina Marcello, Fagiano Lorenzo Mario, La Bella Alessio, Scattolini Riccardo
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