Visualizza wikitesto di MPC ← MPC

	Saverio Mascolo
	Professore Ordinario (Full Professor) IEEE Fellow

Model Predictive Control (6 CFU)[edit]

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.

Prerequisites[edit]

Knowledge of Automatic Control, Dynamical Systems Theory and Estimation and Control of Dynamical Systems.

Examination method[edit]

A final project consists of:

1. studying some papers, notes or documentation on a specific subject
2. performing simulations or numerical tests on a software platform
3. writing a report
4. giving a presentation

Students are encouraged to contact directly the lab assistants to decide the project to be carried out. Further information regarding the proposed projects is given in the following pages. More detailed information, references, and tools will be given once the project has been assigned.

Contents[edit]

Argument 1

State-space formulation and the MPC control problem: open loop solutions; closed loop solutions; treatment of constraints on state and control variables (8 HOURS - 1 ECTS)

Examples and exercises (4 hours - 0.25 CFU)

Temi d'anno 2019/2020 - Projects proposals[edit]

NEW! (18/11/2019) I temi d'anno proposti per l'A.A. 2019/2020 sono disponibili qui:

Further Information[edit]

C3Lab, Department of Electrical and Information Engineering, Polytechnic of Bari
Prof. Saverio Mascolo
Email: mascolo at poliba dot it

Lab. Assistant:
Dott. Vito Andrea Racanelli
Email: