ABSTRACT
Information exchange among neighbors is instrumental for coordination as discussed in all aforementioned references. However, degraded communication environments are commonly encountered in real-life applications. Namely, the exchanged information is often sampled, delayed, corrupted and prone to communication channel dropouts. This chapter analyses transmission rates and delays that provably stabilize Multi-Agent Systems (MAS) in the presence of disturbances and noise. It provides the notation and terminology used. The chapter shows that the robustness problem of linear MASs with respect to realistic communication. It presents a methodology to solve this robustness problem. The chapter investigates multi-agent control in degraded communication environments. The agent models utilized to devise cooperative control laws might not be accurate or external disturbances might be present. Hence, it is of interest to determine how robust a control law is with respect to realistic data exchange and to quantify the robustness.
