At the upcoming 52nd IEEE Conference on Decision and Control (CDC’13), December 10-13, 2013, Florence, Italy, the following workshop will be organized:

 

Distributed Model Predictive Control Made Easy:

Exploring Common Characteristics and Distinguishing Features

 

Organizers

• J. M. (Jose) Maestre (University of Seville)
• R. R. (Rudy) Negenborn (Delft University of Technology)
• C. (Carlos) Ocampo-Martínez (Technical University of Catalunya)
• P. (Paul) Trodden (University of Sheffield)

Workshop materials
Contact us if you participated in the workshop and are looking for the workshop materials.

Abstract
This workshop is divided in the following three parts:

1. In the first place, this workshop introduces the concept of Distributed Model Predictive Control (DMPC) and presents the key features of a DMPC scheme in a structured fashion. In particular, we present the two main type of DMPC schemes, classified according to the way in which the schemes are derived: either starting from a group of autonomous systems and then introducing communication to obtain coordination, or from a (hypothetical) monolithic system decomposed into subsystems that are coordinated taking into account limitations in communication/processing power. Undoubtedly, this is the most important feature in a DMPC scheme since it has to do with the perspective from which the distributed control scheme has been designed, bottom-up or top-down. Likewise, there is also a sensitive difference in the target applications of these two families of schemes.
2. The second part of the workshop deals with advanced topics about DMPC schemes. More specifically, we focus on how to improve the performance of DMPC schemes via supervision, negotiation or cooperation. Most theoretical results in DMPC have been concerned with achieving system-wide feasibility, stability and (to a lesser extent) robustness, but there are far fewer theoretical results on performance. Moreover, some of the conditions sufficient to guarantee feasibility/stability are harmful to performance. Likewise, we will study Coalitional MPC, a new type of DMPC scheme in which the local controllers only communicate when there is a noticeable increment in the system performance.
3. Finally, we conclude the workshop presenting benchmarks for the assessment of DMPC schemes in Matlab and providing the audience with hints regarding the evolution of Distributed MPC and potential research lines.

 

Program

• 9.30 – 10:15

Introduction

R. R. Negenborn and J. M. Maestre

 

• 10:15-11:00

From MPC to DMPC. Distributed MPC Commonalities

R. R. Negenborn

 

• 11:00-11:30

Coffee Break

 

• 11:30-12:15

From Small-Scale to Large-Scale: The Group of Autonomous Systems Perspective in Distributed MPC

J. M. Maestre

 

• 12:15-13:00

From Large-Scale to Small-Scale –The Decomposed Monolithic System Perspective

C. Ocampo-Martinez

 

• 13:00 – 14:30

Lunch

 

• 14:30-15:15

Improving performance in DMPC: supervision, negotiation or cooperation?

P. Trodden

 

• 15:15-16:00

Coalitional control: an evolution of DMPC

J. M. Maestre

 

• 16:00 – 16:30

Coffee Break

 

• 16:30 – 17:15

DMPC benchmarks in Matlab

J. M. Maestre

 

• 17:15 – 18:00

Summary and discussion

 

Registration

Sign up for the workshop via the registration service of the conference.