52nd IEEE Conference on Decision and Control 2013
DOI: 10.1109/cdc.2013.6760698
|View full text |Cite
|
Sign up to set email alerts
|

LQR performance for multi-agent systems: Benefits of introducing delayed inter-agent measurements

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 45 publications
0
1
0
Order By: Relevance
“…The switching communication digraph and communication delays were also considered. The control law had a local linear feedback term and a consensus-like term which depended on a delayed version of the relative states with respect to its neighbors in [16], where a Lyapunov-Krasovskii approach was used to synthesize the gain associated with the consensus term. The "averaged" optimization approach had been used in the design of the suboptimal distributed controller for the discrete-time multi-agent systems [17] , where the optimization processes of the cost function were different with this paper.…”
mentioning
confidence: 99%
“…The switching communication digraph and communication delays were also considered. The control law had a local linear feedback term and a consensus-like term which depended on a delayed version of the relative states with respect to its neighbors in [16], where a Lyapunov-Krasovskii approach was used to synthesize the gain associated with the consensus term. The "averaged" optimization approach had been used in the design of the suboptimal distributed controller for the discrete-time multi-agent systems [17] , where the optimization processes of the cost function were different with this paper.…”
mentioning
confidence: 99%