Title：Sampled-based consensus of multi-agent systems with bounded distributed time-delays and dynamic quantization effects

Abstract：In this talk, we are concerned with the sampled-based consensus problem of multi-agent systems with bounded distributed time-delays and quantization effects. A dynamic quantization scheme is introduced to save the constrained communication resources, where some adjustable parameters are introduced to exclude the phenomena of quantizer saturation. In addition, to reduce the actuation burden of controller and quantizer cost, a sampled-data control strategy is employed to investigate the consensus problem. Several sufficient criteria are derived to achieve consensus of multi-agent systems based on the matrix theory and Lyapunov control techniques. Finally, two numerical examples are provided to demonstrate the effectiveness of the derived results.

Speaker：Cui Ying，Ph. D., Fuyang Normal University, Associate Professor,

Date：16:30pm 2021-12-14（Tuesday）.

Venue:Tencent Meeting ID： 238-573-007

Organizer：School of Mathematical Science

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