Output feedback distributed model predictive control with inherent robustness properties
Giselsson, Pontus LU
(2013)
American Control Conference, 2013
p.1691-1696
- Abstract
- We consider robust output feedback distributed model predictive control (DMPC). The proposed controller is based on the results in [8] in which nominal stability and feasibility was proven for a DMPC-formulation without terminal constraint set or terminal cost in the optimization. We extend these results to show robust stability under state feedback as well as output feedback when dynamics and measurements are affected by bounded noise. The provided numerical example suggests that the region of attraction without terminal constraint set may be significantly larger than if a terminal constraint set is used.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2278078
- author
- Giselsson, Pontus
LU
- organization
- publishing date
- 2013
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 1691 - 1696
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- American Control Conference, 2013
- conference location
- Washington, DC, United States
- conference dates
- 2013-06-17 - 2016-06-19
- external identifiers
-
- wos:000327210201141
- scopus:84883550050
- ISSN
- 0743-1619
- project
- LCCC
- language
- English
- LU publication?
- yes
- id
- b258a653-cc50-466b-9329-dff2885d17ea (old id 2278078)
- date added to LUP
- 2016-04-01 12:57:21
- date last changed
- 2024-01-09 06:00:40
@inproceedings{b258a653-cc50-466b-9329-dff2885d17ea,
abstract = {{We consider robust output feedback distributed model predictive control (DMPC). The proposed controller is based on the results in [8] in which nominal stability and feasibility was proven for a DMPC-formulation without terminal constraint set or terminal cost in the optimization. We extend these results to show robust stability under state feedback as well as output feedback when dynamics and measurements are affected by bounded noise. The provided numerical example suggests that the region of attraction without terminal constraint set may be significantly larger than if a terminal constraint set is used.}},
author = {{Giselsson, Pontus}},
booktitle = {{[Host publication title missing]}},
issn = {{0743-1619}},
language = {{eng}},
pages = {{1691--1696}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
title = {{Output feedback distributed model predictive control with inherent robustness properties}},
year = {{2013}},
}