Скачать или смотреть Network and Distribution 2 - Networked MPC for Multi-Vehicle Decision-Making

This lecture covers centralized MPC and cooperative distributed MPC. It is part of the course on Networked Model Predictive Control for Multi-Vehicle Decision-Making.

Instructors:
Dr.-Ing. Bassam Alrifaee (Lecturer)
Patrick Scheffe, M. Sc. (Assistant Lecturer)

Course Description:
This course combines theory of Networked Model Predictive Control (Net-MPC) with practical exercises in the Cyber-Physical Mobility Lab (CPM Lab, a lab for networked control systems).
In the theory part, we will discuss three strategies for Net-MPC: centralized, cooperative, and non-cooperative. We focus on distributing the control problem of multi-agent systems coupled via objective function or constraints using Distributed MPC (DMPC). The course will further discuss the application of Net-MPC to the decision-making problem in a multi-vehicle system, which prepares the participants for the practical lab work.
In the practical part, we will apply the Net-MPC strategies to vehicle platooning in the CPM Lab. The CPM Lab is an open source platform for networked and autonomous vehicles.

The Cyber-Physical Mobility Group at the chair of Embedded Software of RWTH Aachen University offered this PhD course in the context of the International Graduate School on Control (IGSC) of the European Embedded Control Institute (EECI, see http://eeciinstitute.web-events.net/) in 2021.

Course Materials:
https://cpm.embedded.rwth-aachen.de/E...

CPM Lab:
https://cpm.embedded.rwth-aachen.de

Cyber-Physical Mobility Group:
https://embedded.rwth-aachen.de/doku....

Chair of Embedded Software (i11):
https://embedded.rwth-aachen.de/

RWTH Aachen University:
https://www.rwth-aachen.de