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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hua Wang Yi Guo |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Stevens Inst. of Technol., Hoboken, NJ (Hua Wang; Yi Guo) |
| Abstract | In this paper, we study the consensus on scale-free network, which is known as more robust and immune to the random mutation and perturbation than (binomial) random network. The underlying dynamics of system is derived from a discrete random process by averaging the state of agents weighted by agent degree. In such framework, we address the consensus on different categories, on fixed/switching topology, on undirected/directed graph based on martingale convergence theorem. |
| Starting Page | 748 |
| Ending Page | 752 |
| File Size | 189694 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424420780 |
| ISSN | 07431619 |
| DOI | 10.1109/ACC.2008.4586582 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-06-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | American Automatic Control Council(AACC) |
| Subject Keyword | Network topology Robustness Multiagent systems Graph theory Computer networks Robust control Genetic mutations Convergence Control systems Complex networks stochastic stability Network control system consensus problem complex network scale-free network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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