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 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Control and Optimization
- Electrical and Electronic Engineering
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Cite this
Hashimoto, K., Adachi, S., & Dimarogonas, D. V. (2015). Distributed aperiodic model predictive control for multi-agent systems. IET Control Theory and Applications, 9(1), 10-20. https://doi.org/10.1049/iet-cta.2014.0368