The paper studied a type of network control system with communication delay and model uncertainty. By adding, a system state predictor to the controlled system of the network system, based on observer a state feedback controller was designed to ensure the system stable with event triggering strategy. Firstly, a state observer was designed based on measure output of system. Secondly, to deal with communication delay in network, we proposed a state predictor, which can calculate the future system state after h time. Compared to the system state only use event trigger strategy the number of times the control signal is triggered significantly reduced, and control channel saves communication resources. In the third place, contacted with event trigger strategy the state feedback in the form of Linear matrix inequality (LMI), and eliminate the influence of communication delays. Meanwhile, it can proved that there is no Zeno phenomenon in the controlled system. At last, the effectiveness of be designed event trigger control is verified by numerical simulation.

错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

Event-Triggered Strategy for Network Control System with Observer Based on State Predictor

  • Xinjie Chen,
  • Bo Li,
  • Junjie Zhao,
  • Erlin Zhu

摘要

The paper studied a type of network control system with communication delay and model uncertainty. By adding, a system state predictor to the controlled system of the network system, based on observer a state feedback controller was designed to ensure the system stable with event triggering strategy. Firstly, a state observer was designed based on measure output of system. Secondly, to deal with communication delay in network, we proposed a state predictor, which can calculate the future system state after h time. Compared to the system state only use event trigger strategy the number of times the control signal is triggered significantly reduced, and control channel saves communication resources. In the third place, contacted with event trigger strategy the state feedback in the form of Linear matrix inequality (LMI), and eliminate the influence of communication delays. Meanwhile, it can proved that there is no Zeno phenomenon in the controlled system. At last, the effectiveness of be designed event trigger control is verified by numerical simulation.