This paper discusses H-infinity state feedback control for a networked control system with time-varying delays. Based on the flee-weighing matrix method, a dehy-dependent stability criterion satisfying a prescribed H-...This paper discusses H-infinity state feedback control for a networked control system with time-varying delays. Based on the flee-weighing matrix method, a dehy-dependent stability criterion satisfying a prescribed H-infinity norm bound is presented for an NCS with unknown, time-varying and bounded delays. And then, the criterion is transformed into sufficient conditions based on linear matrix inequalities for H-infinity control. The conditions thus obtained are also used to design an H-infinity state feedback controller. This design method is further extended to solve the design problem of robust H-infinity state feedback control. A numerical example demonstrates the validity of the method.展开更多
给出一个存在随机时延和数据包丢失的网络控制系统(Networked Control System,NCS)模型,并分析了其渐近稳定的LMI条件.为了降低数据包丢失对系统稳定性的影响,在系统中增加了补偿器,并建立了具有丢包补偿器和随机网络诱导时延的NCS模型...给出一个存在随机时延和数据包丢失的网络控制系统(Networked Control System,NCS)模型,并分析了其渐近稳定的LMI条件.为了降低数据包丢失对系统稳定性的影响,在系统中增加了补偿器,并建立了具有丢包补偿器和随机网络诱导时延的NCS模型.在此模型的基础上,给出了系统渐近稳定和γ次优、最优的充分条件,并且获得了系统最优H∞控制的输出反馈控制律.对同一算例进行Matlab仿真,结果表明具有丢包补偿器的NCS趋于稳定的速度更快.展开更多
文摘This paper discusses H-infinity state feedback control for a networked control system with time-varying delays. Based on the flee-weighing matrix method, a dehy-dependent stability criterion satisfying a prescribed H-infinity norm bound is presented for an NCS with unknown, time-varying and bounded delays. And then, the criterion is transformed into sufficient conditions based on linear matrix inequalities for H-infinity control. The conditions thus obtained are also used to design an H-infinity state feedback controller. This design method is further extended to solve the design problem of robust H-infinity state feedback control. A numerical example demonstrates the validity of the method.
文摘给出一个存在随机时延和数据包丢失的网络控制系统(Networked Control System,NCS)模型,并分析了其渐近稳定的LMI条件.为了降低数据包丢失对系统稳定性的影响,在系统中增加了补偿器,并建立了具有丢包补偿器和随机网络诱导时延的NCS模型.在此模型的基础上,给出了系统渐近稳定和γ次优、最优的充分条件,并且获得了系统最优H∞控制的输出反馈控制律.对同一算例进行Matlab仿真,结果表明具有丢包补偿器的NCS趋于稳定的速度更快.