| Abstract: |
| Multi-agent systems in complex communication environments are inevitably
subjected to communication delays and measurement noises. The delays and measurement noises are intertwined with the distributed structure of the multi-agent system, which significantly affects the convergence performance and brings substantial difficulties to the design of the control law. Based on probability theory and stochastic stability theory, this report will investigate the consensus control of the multi-agent systems with measurement noises and time-delays. The explicit consensus conditions related to the control gain and system parameters are deduced, where the system parameters include noise intensities, time-delay and communication graph. |
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