A hybrid approach for cooperative output regulation with sampled compensator

نویسندگان

  • Chao Yang
  • Zhi-Hong Guan
  • Ming Chi
  • Guilin Zheng
چکیده

This work investigates the cooperative output regulation problem of linear multi-agent systems with hybrid sampled data control. Due to the limited data sensing and communication, in many practical situations, only sampled data are available for the cooperation of multi-agent systems. To overcome this problem, a distributed hybrid controller is presented for the cooperative output regulation, and cooperative output regulation is achieved by well designed state feedback law. Then it proposed a method for the designing of sampled data controller to solve the cooperative output regulation problem with continuous linear systems and discrete-time communication data. Finally, numerical simulation example for cooperative tracking and a simulation example for optimal control of micro-grids are proposed to illustrate the result of the sampled data control law.

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عنوان ژورنال:
  • CoRR

دوره abs/1604.05455  شماره 

صفحات  -

تاریخ انتشار 2016