(Temi d'anno 2018/2019 - Projects proposals)
(Temi d'anno 2019/2020 - Projects proposals)
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==Temi d'anno 2019/2020 - Projects proposals ==  
 
==Temi d'anno 2019/2020 - Projects proposals ==  
'''NEW! (18/11/2019)''' I temi d'anno proposti per l'A.A. 2019/2020 sono disponibili [https://docs.google.com/document/d/e/2PACX-1vRvfIBpaRoc1-tCKS-RjRmLdRUK2s85vzPyCuYiGsJ-vM4rOJWuO1l1zFJFNrxr3mAk9W5Mkr2GhxDP/pub qui]:
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'''NEW! (18/11/2019)''' I temi d'anno proposti per l'A.A. 2019/2020 sono disponibili [https://docs.google.com/document/d/1-UtzLdcIt5S3dGMJ3dYkwT3-huZkqIb4SQBXufMXHl4/edit?usp=sharing qui]:
 
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Revisione 22:47, 18 Nov 2019

Mascolo2.jpg Saverio Mascolo
Professore Ordinario (Full Professor)


IEEE Fellow


Model Predictive Control (6 CFU)

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

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

Examination method

Contents

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

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


Further Information

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:

Mascolo2.jpg 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]

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: