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In the first part of the paper, robust consensus was discussed for continuous-time multi-agent systems with uncertainties in the dynamics. As an application of the robust consensus analysis, this part of the paper further investigates distributed multi-agent coordination via event-triggered strategies, where the control input of each agent is piecewise constant. Each agent chooses the instances to update its control input by checking whether its state error meets a given time-dependent function or not. Proper triggering conditions are given for the system to reach a global consensus using piecewise costant control with directed time-varying communication graphs under neighbor-synchronous and asynchronous updating protocols, respectively.