Details
| Original language | English |
|---|---|
| Title of host publication | Distributed Model Predictive Control Made Easy |
| Publisher | Kluwer Academic Publishers |
| Pages | 89-100 |
| Number of pages | 12 |
| ISBN (print) | 9789400770058 |
| Publication status | Published - 2014 |
| Externally published | Yes |
Publication series
| Name | Intelligent Systems, Control and Automation: Science and Engineering |
|---|---|
| Volume | 69 |
| ISSN (Print) | 2213-8986 |
| ISSN (electronic) | 2213-8994 |
Abstract
In this chapter, we describe a distributed MPC algorithm for cooperative control of a network of systems which are coupled by constraints and pursue a common, cooperative control objective. The proposed DMPC algorithm cannot only be used for classical control objectives such as set point stabilization, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of mobile robots, formation flight of aircrafts, as well as satellite control.
ASJC Scopus subject areas
- Engineering(all)
- Control and Systems Engineering
- Engineering(all)
- Mechanical Engineering
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Control and Optimization
Cite this
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Distributed Model Predictive Control Made Easy. Kluwer Academic Publishers, 2014. p. 89-100 (Intelligent Systems, Control and Automation: Science and Engineering; Vol. 69).
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Distributed MPC for Consensus and Synchronization
AU - Müller, M. A.
AU - Allgöwer, F.
N1 - Funding Information: This work was supported by the German Research Foundation (DFG) within the Priority Programme 1305 “Control Theory of Digitally Networked Dynamical Systems” and within the Cluster of Excellence in Simulation Technology (EXC 310/1) at the University of Stuttgart.
PY - 2014
Y1 - 2014
N2 - In this chapter, we describe a distributed MPC algorithm for cooperative control of a network of systems which are coupled by constraints and pursue a common, cooperative control objective. The proposed DMPC algorithm cannot only be used for classical control objectives such as set point stabilization, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of mobile robots, formation flight of aircrafts, as well as satellite control.
AB - In this chapter, we describe a distributed MPC algorithm for cooperative control of a network of systems which are coupled by constraints and pursue a common, cooperative control objective. The proposed DMPC algorithm cannot only be used for classical control objectives such as set point stabilization, but also for more general cooperative control tasks such as consensus and synchronization problems. Possible application fields include teams of mobile robots, formation flight of aircrafts, as well as satellite control.
UR - http://www.scopus.com/inward/record.url?scp=84896527776&partnerID=8YFLogxK
U2 - 10.1007/978-94-007-7006-5_5
DO - 10.1007/978-94-007-7006-5_5
M3 - Contribution to book/anthology
AN - SCOPUS:84896527776
SN - 9789400770058
T3 - Intelligent Systems, Control and Automation: Science and Engineering
SP - 89
EP - 100
BT - Distributed Model Predictive Control Made Easy
PB - Kluwer Academic Publishers
ER -