Abstract
In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.
| Original language | English |
|---|---|
| Pages (from-to) | 10-20 |
| Number of pages | 11 |
| Journal | IET Control Theory and Applications |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2015 Jan 2 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Electrical and Electronic Engineering
- Human-Computer Interaction
- Computer Science Applications
- Control and Optimization
Cite this
Distributed aperiodic model predictive control for multi-agent systems. / Hashimoto, Kazumune; Adachi, Shuichi; Dimarogonas, Dimos V.
In: IET Control Theory and Applications, Vol. 9, No. 1, 02.01.2015, p. 10-20.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Distributed aperiodic model predictive control for multi-agent systems
AU - Hashimoto, Kazumune
AU - Adachi, Shuichi
AU - Dimarogonas, Dimos V.
PY - 2015/1/2
Y1 - 2015/1/2
N2 - In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.
AB - In this study, the authors propose an aperiodic formulation of model predictive control for distributed agents with additive bounded disturbances. In the proposed method, each agent solves an optimal control problem only when certain control performances cannot be guaranteed according to certain triggering rules. This could lead to the reduction of energy consumption and the alleviation of over usage of communication resources. The triggering rules are derived for both event-triggered and self-triggered formulation. The authors proposed method is also verified through a simulation example.
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UR - http://www.scopus.com/inward/citedby.url?scp=84918791335&partnerID=8YFLogxK
U2 - 10.1049/iet-cta.2014.0368
DO - 10.1049/iet-cta.2014.0368
M3 - Article
AN - SCOPUS:84918791335
VL - 9
SP - 10
EP - 20
JO - IET Control Theory and Applications
JF - IET Control Theory and Applications
SN - 1751-8644
IS - 1
ER -