An approach to quantized consensus of continuous-time linear multi-agent systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 98-104 |
| Journal / Publication | Automatica |
| Volume | 91 |
| Online published | 20 Mar 2018 |
| Publication status | Published - May 2018 |
Link(s)
Abstract
This paper investigates the consensus problem of continuous-time linear multi-agent systems (MASs), under the communication constraint of limited bandwidth. By constructing a novel dynamic quantizer, a distributed protocol via sampled and quantized data is designed to solve this problem. It is shown that the required number of the quantization levels of the new quantizer remains to be small even if the number of the agents in the MAS is large. A simulation example is given to illustrate the effectiveness of the proposed consensus protocol.
Research Area(s)
- Consensus, ISS-Lyapunov functions, Quantization, Sampling
Citation Format(s)
An approach to quantized consensus of continuous-time linear multi-agent systems. / Ma, Ji; Ji, Haibo; Sun, Dong et al.
In: Automatica, Vol. 91, 05.2018, p. 98-104.
In: Automatica, Vol. 91, 05.2018, p. 98-104.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
