Consensus Problem of Markov Jump Multi-Agent Systems with Time-Varying Delay under Sampled-Data

DOI

10.2991/ceie-16.2017.24How to use a DOI?

Keywords

Markov Jump; Multi-Agent Systems; Consensus, Sampled-Data Control

Abstract

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/ceie-16.2017.24
ID  - Shao2016/10
ER  -