Core Concepts
Introducing a noise-robust distributed maximum consensus algorithm for multi-agent networks with noisy communication links.
Stats
RD-MC is significantly more robust to communication link noise compared to existing algorithms.
Noise variance of σ2 = 0.1 was used in the experiments.
Quotes
"RD-MC converges to the maximum value with a bounded error, whereas the other two algorithms diverge."
"RD-MC with C = 3 exhibits significantly greater resilience to link noise compared to D-MC."