SYSYGRNov 6, 2016

Self-Triggered Control for Multi-Agent Systems with Quantized Communication or Sensing

arXiv:1604.0283211 citationsh-index: 97
Originality Synthesis-oriented
AI Analysis

It addresses the problem of efficient communication in multi-agent systems, but the results are incremental as they extend existing self-triggered control to quantized settings.

The paper proposes self-triggered control rules to reduce communication and updates in multi-agent consensus with quantized communication or sensing, proving exponential consensus under uniform quantization and spanning tree topologies.

The consensus problem for multi-agent systems with quantized communication or sensing is considered. Centralized and distributed self-triggered rules are proposed to reduce the overall need of communication and system updates. It is proved that these self-triggered rules realize consensus exponentially if the network topologies have a spanning tree and the quantization function is uniform. Numerical simulations are provided to show the effectiveness of the theoretical results.

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