Prediction Mismatch in Distributed Model Predictive Control

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 May 2020 Germany Publisher:IEEEJournal:2020 European Control Conference (ECC)

Authors: Kloock, Christine; Werner, Herbert;

doi: 10.23919/ecc51009.2020.9143753

Prediction Mismatch in Distributed Model Predictive Control

- Summary
- Metrics

Abstract

This paper addresses the topic of prediction mismatch for distributed model predictive control. Based on a simple scenario the problem is illustrated for a small group of agents with obstacles in simulation studies. A novel approach based on external soft constraints is presented and shown in the simulated scenario to recover feasibility that was otherwise lost.

Country

Germany

Related Organizations

Hamburg University of Technology
Germany

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average