Event-triggered MPC Design for Distributed Systems With Network Communications  

作　　者：Xiaoxiao Mi Shaoyuan Li 

机构地区：[1]Key Laboratory of System Control and Information Processing, Shanghai Jiao Tong University

出　　处：《IEEE/CAA Journal of Automatica Sinica》2018年第1期240-250,共11页自动化学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(61233004,61590924,61521063)

摘　　要：This paper deals with the communication problem in the distributed system, considering the limited battery power in the wireless network and redundant transmission among nodes. We design an event-triggered model predictive control(ET-MPC) strategy to reduce the unnecessary communication while promising the system performance. On one hand, for a linear discrete time-invariant system, a triggering condition is derived based on the Lyapunov stability. Here, in order to further reduce the communication rate, we enforce a triggering condition only when the Lyapunov function will exceed its value at the last triggered time, but an average decrease is guaranteed. On the other hand, the feasibility is ensured by minimizing and optimizing the terminal constrained set between the maximal control invariant set and the target terminal set. Finally, we provide a simulation to verify the theoretical results. It's shown that the proposed strategy achieves a good trade-off between the closed-loop system performance and communication rate.This paper deals with the communication problem in the distributed system, considering the limited battery power in the wireless network and redundant transmission among nodes. We design an event-triggered model predictive control（ET-MPC） strategy to reduce the unnecessary communication while promising the system performance. On one hand, for a linear discrete time-invariant system, a triggering condition is derived based on the Lyapunov stability. Here, in order to further reduce the communication rate, we enforce a triggering condition only when the Lyapunov function will exceed its value at the last triggered time, but an average decrease is guaranteed. On the other hand, the feasibility is ensured by minimizing and optimizing the terminal constrained set between the maximal control invariant set and the target terminal set. Finally, we provide a simulation to verify the theoretical results. It＇s shown that the proposed strategy achieves a good trade-off between the closed-loop system performance and communication rate.

关 键 词：Event-triggered control Lyapunov stability model predictive control(MPC) terminal invariant set 

分 类 号：TP[自动化与计算机技术]