Reliable Consensus Problem For Multi-Agent Systems With Sampled-Data
Seung-Hoon Lee, Myeongjin Park, Oh‐Min Kwon · Zenodo (CERN European Organization for Nuclear Research) · 2015
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.