Distributed event triggered optimization for multi agent systems with disturbance rejection
In this paper, distributed optimization problem is investigated for continuous time multi agent systems with external disturbance and discrete time communication. A distributed optimization algorithm with an event triggered strategy is designed, in order to reduce the communication cost. The proposed internal model based algorithm is proved to be effective and free of Zeno behavior with exponential convergence rate. Moreover, numerical simulation results also verify its effectiveness.
2016 12th IEEE International Conference on Control and Automation (ICCA)