Ph.D.
in Information Technology
Dipartimento
di Elettronica, Informazione e Bioingegneria (DEIB)
Politecnico
di Milano
Dates: February 10 - 11, 2020
Location: DEIB,
Building n. 20, Politecnico di Milano
Dates: April 15 - 17, 2020
Location:
online lectures
Organizer:
Maria Prandini - Politecnico di Milano
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Lecturers: Alessandro
Falsone - Politecnico di Milano Simone Garatti
- Politecnico di Milano Kostas Margellos - Oxford University Maria Prandini
- Politecnico di Milano |
Course description:
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This
course will introduce the students to a mathematical framework for the
analysis and design of distributed decision-making schemes in multi-agent
systems seeking convergence to the optimal cooperative solution. The
case when uncertainty is affecting the multi-agent system is also addressed. |
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The
course is structured in 4 parts. 1. Motivation and illustrative
applications Introduction
to decision making problems arising in smart grid control and optimization,
and in coordination and control for electric vehicle fleets. 2. Mathematical tools Introduction to the mathematical tools of graph
theory, convex analysis, optimization, duality theory that constitute the
theoretical backbone for the analysis and design of cooperative algorithms 3. Distributed cooperative
algorithms Primal-based and dual-based algorithms for
distributed cooperative decision making will be illustrated, resting on the
math tools of Part 2 4. Distributed optimization in
uncertain networks The algorithmic solutions described in Part 3 will
be extended to the case when the multi-agent optimization problem is affected
by uncertainty.
Lectures will take place at Building n. 20 of the Dipartimento di Elettronica,
Informazione e Bioingegneria, Politecnico di Milano, via Ponzio 34/5, 20133
Milano. See http://www.deib.polimi.it/eng/how-to-reach-us
for directions on how to reach the Dipartimento di Elettronica, Informazione e
Bioingegneria. |
Structure of the course:
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Monday, February
10 - Room Sala seminari Nicola Schiavoni 11:30 - 13:00 Motivation [file pdf] and graph theory [file pdf] Tuesday, February 11 - Room
Sala seminari Nicola Schiavoni 09:30 - 11:00 Math tools [file pdf] 14:30 - 17:00 Math tools [file pdf] Wednesday, April 15 - Online
lectures 11:30 - 13:00 Primal-based algo 14:30 - 17:00 Primal-based
algo Thursday, April 16 -
Online lectures 09:30 - 12:00 Duality-based algo Friday, April 17 - Online
lectures 09:30 - 12:00 Distributed uncertain
optimization 14:30 - 16:00 Distributed uncertain
optimization Remarks:
The above time
schedule does not include breaks but refers to effective lecture-time. |
The slides of
the course will be posted in due course on this website.
Relevant references:
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