Abstract
This paper develops a model predictive flocking control scheme for the Cucker-Smale multi-agent model with input constraints. A decentralized controller is designed based only on neighboring measurements. Connectivity conditions are established for guaranteeing the convergence to a rigid flock. Finally, numerical simulation demonstrates the effectiveness of the control scheme.
| Original language | English |
|---|---|
| Pages (from-to) | 1265-1275 |
| Journal | IEEE Transactions on Circuits and Systems I: Regular Papers |
| Volume | 63 |
| Issue number | 8 |
| Online published | 13 Jul 2016 |
| DOIs | |
| Publication status | Published - Aug 2016 |
Research Keywords
- Cucker-Smale model
- flocking
- input constraint
- model predictive control
- multi-agent system
RGC Funding Information
- RGC-funded
Fingerprint
Dive into the research topics of 'Model Predictive Flocking Control of the Cucker-Smale Multi-Agent Model with Input Constraints'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Pinning Controllability and Observability for Directed Networks of Non-identical Linear Node Systems with Multi-channel Connections
CHEN, G. (Principal Investigator / Project Coordinator)
1/01/16 → 21/11/18
Project: Research
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