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Prof. Xiaofeng Zong
Abstract: Multi-agent systems in complex communication environments are inevitably subjected to communication uncertainties, like communication delays, measurement noises, and switching topologies. These communication uncertainties significantly affect the convergence performance and bring 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 communication uncertainties. 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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