Robustness of First- and Second-Order Consensus Algorithms for a Noisy Scale-Free Small-World Koch Network
| Autor: | Zhongzhi Zhang, Yuhao Yi, Liren Shan, Guanrong Chen |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Consensus algorithm
0209 industrial biotechnology Small-world network Theoretical computer science Noise measurement Scale-free network 020206 networking & telecommunications Network size 02 engineering and technology White noise Network topology 020901 industrial engineering & automation Control and Systems Engineering Robustness (computer science) 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Mathematics |
| Zdroj: | IEEE Transactions on Control Systems Technology. 25:342-350 |
| ISSN: | 1558-0865 1063-6536 |
| DOI: | 10.1109/tcst.2016.2550582 |
| Popis: | In this brief, we study first- and second-order consensus algorithms for the scale-free small-world Koch network, where vertices are subject to white noise. We focus on three cases of consensus schemes: 1) first-order leaderless algorithm; 2) first-order algorithm with a single leader; and 3) second-order leaderless algorithm. We are concerned with the coherence of the Koch network in the $H_{2}$ norm, which captures the level of agreement of vertices in face of stochastic disturbances. Based on the particular network construction, we derive explicit expressions of the coherence for all the three consensus algorithms, as well as their dependence on the network size. Particularly, for the first-order leader-follower model, we show that coherence relies on the shortest-path distance between the leader and the largest-degree vertices, as well as the degree of the leader. The asymptotic behaviors for coherence of the three consensus algorithms in Koch network behave differently from those associated with other networks lacking scale-free small-world features, indicating significant influences of the scale-free small-world topology on the performance of the consensus algorithms in noisy environments. |
| Databáze: | OpenAIRE |
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