On Consensus in Multi-agent Systems with Quantized Signal Communication
Takumi Furusaka, Takao Satô, Nozomu Araki, Yasuo Konishi · IEEJ Transactions on Electronics Information and Systems · 2019
In this paper, we consider the consensus control of multi-agent systems with quantized signal communication. In such a network system, when the static quantizer is used, the control performance is degraded because of the influence of the quantization error. To compensate the quantization error, in a conventional method, a probabilistic quantizer is used. On the other hand, in this paper, the dynamic quantizer is introduced instead of the static quantizer. Because the dynamic quantizer is optimally designed, the control performance of the proposed method can be improved better than the conventional methods. Finally, the effectiveness of the proposed method is demonstrated through numerical examples.