Robust consensus of discrete-time multi-agent systems with nonlinear disturbances

We study a robust consensus problem of discrete-time multi-agent systems with nonlinear disturbances. By a suitable linear transform, the systems are changed to other systems. Furthermore, we derive some conditions in form of linear matrix inequalities (LMIs) guaranteeing the robust consensus by usi...

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Bibliographic Details
Published in2014 International Conference on Mechatronics and Control (ICMC) pp. 718 - 722
Main Authors Janlong Sun, Junyan Yu, Yulan Gao, Mei Yu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2014
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Summary:We study a robust consensus problem of discrete-time multi-agent systems with nonlinear disturbances. By a suitable linear transform, the systems are changed to other systems. Furthermore, we derive some conditions in form of linear matrix inequalities (LMIs) guaranteeing the robust consensus by using Lyapunov function methods. Finally, a simulation result is worked out to demonstrate the effectiveness of the theoretical results.
DOI:10.1109/ICMC.2014.7231648