Reliable Consensus Problem for Multi-Agent Systems with Sampled-Data
| Main Authors: | S. H. Lee, M. J. Park, O. M. Kwon |
|---|---|
| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2015
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/1100074 |
Daftar Isi:
- In this paper, reliable consensus of multi-agent systems with sampled-data is investigated. By using a suitable Lyapunov-Krasovskii functional and some techniques such as Wirtinger Inequality, Schur Complement and Kronecker Product, the results of such system are obtained by solving a set of Linear Matrix Inequalities (LMIs). One numerical example is included to show the effectiveness of the proposed criteria.