2021
DOI: 10.1016/j.neucom.2020.10.017
|View full text |Cite
|
Sign up to set email alerts
|

Data-based output tracking formation control for heterogeneous MIMO multiagent systems under switching topologies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 16 publications
(3 citation statements)
references
References 32 publications
0
3
0
Order By: Relevance
“…35 A data-driven control strategy was investigated for formation control of nonlinear heterogeneous MIMO MASs with switching topologies. 36 However, to the best of our knowledge, existing distributed MFAC schemes [31][32][33][34][35][36] belong to time-driven control protocols in terms of data transmission, that is, data are periodically sent and received in packets through the network. The time-driven control scheme may affect the consensus tracking of the system given that the communication bandwidth of hardware devices is limited in the actual communication process.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…35 A data-driven control strategy was investigated for formation control of nonlinear heterogeneous MIMO MASs with switching topologies. 36 However, to the best of our knowledge, existing distributed MFAC schemes [31][32][33][34][35][36] belong to time-driven control protocols in terms of data transmission, that is, data are periodically sent and received in packets through the network. The time-driven control scheme may affect the consensus tracking of the system given that the communication bandwidth of hardware devices is limited in the actual communication process.…”
Section: Introductionmentioning
confidence: 99%
“…A data‐based tracking control protocol with delay compensation method was presented for MIMO (Multiple Input Multiple Output) nonlinear MASs with random delay 35 . A data‐driven control strategy was investigated for formation control of nonlinear heterogeneous MIMO MASs with switching topologies 36 …”
Section: Introductionmentioning
confidence: 99%
“…In refs. [7,27,28], the problem of formation control for a class of multi-input multi-output (MIMO) systems was discussed. Additionally, the MFAC method can be combined with other data-driven methods, such as ILC, to complete the task of formation control or consensus, as in refs.…”
Section: Introductionmentioning
confidence: 99%