针对短时延网络控制系统,提出了将时变采样周期分成为定常采样周期和网络诱导时延的和.建立了系统离散模型,将采样周期的不确定性转换成系统参数的不确定性.研究设计了静态状态反馈控制器,基于线性矩阵不等式的可行解给出了控制器参数.仿真证明了该方法的有效性.比较于其他的设计方式,该方法的计算量小.
Because networked control systems (NCS) developes from the traditional control systems where the sampling period is constant. It is nature to choose the varying sampling period as the sum of a constant sampling and the network induced-delay. The discrete state-space model is formed in which the uncertain part of the sampling period is transformed into uncertainty of the structure parameter. LMI-based static sate-feedback controller is proposed to guarantee the NCS with time-varying sampling period in the limited value asymptotically stable. A numerical simulation results show the validity of the proposed method. Compared with other methods, the major advantage of this method is easily computational and consistent to the practical NCS.