Consensus Problem of Markov Jump Multi-Agent Systems with Time-Varying Delay under Sampled-Data
Shili Shao, He Zhang, Changqing Liu
Available Online October 2016.
- https://doi.org/10.2991/ceie-16.2017.24How to use a DOI?
- Markov Jump; Multi-Agent Systems; Consensus, Sampled-Data Control
- A lot of uncertain information is usually involved in the process of software system maintenance, and such information is difficult to perform quantitative analysis normally. In order to effectively solve the problem, this paper puts forward a measurement model of the software maintainability based on comentropy. A quantitative analysis algorithm about the comentropy has been introduced, then it builds up a quantitative model of predicting the software maintainability combining with qualitative analysis and calculation. In addition, the quantitative analysis algorithm model is confirmed by practical samples. The emulational result demonstrates that the method is an effective quantifiable analysis algorithm, and it can predict the maintainability of software system more accurately. Therefore this paper offers a new idea for quantifiable analysis in the prediction of maintainability of software system.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Shili Shao AU - He Zhang AU - Changqing Liu PY - 2016/10 DA - 2016/10 TI - Consensus Problem of Markov Jump Multi-Agent Systems with Time-Varying Delay under Sampled-Data BT - Proceedings of the International Conference on Communication and Electronic Information Engineering (CEIE 2016) PB - Atlantis Press SP - 176 EP - 183 SN - 2352-5401 UR - https://doi.org/10.2991/ceie-16.2017.24 DO - https://doi.org/10.2991/ceie-16.2017.24 ID - Shao2016/10 ER -