论文部分内容阅读
针对一类具有随机时延的网络控制系统(NCSs)周期反馈控制问题,提出一个新颖的马尔可夫随机时滞系统模型.该模型包括一个分段常数广义采样保持函数(PCGSHF)以及一个用于描述网络诱导时延和数据包丢失的马尔可夫链.应用李亚普诺夫方法以及线性矩阵不等式技术得到了闭环NCSs随机稳定的充分条件,并给出了状态反馈控制器和PCGSHF的设计方法.最后,通过仿真算例验证了设计方法的有效性.
Aiming at the problem of periodic feedback control for a class of networked control systems (NCSs) with random delay, a novel Markov random time-delay system model is proposed. The model includes a piecewise constant generalized sample-and-hold function (PCGSHF) A sufficient condition for the stochastic stability of the closed-loop NCSs is obtained by using the Lyapunov method and the linear matrix inequality technique, and the design method of the state feedback controller and the PCGSHF is given. Simulation results show the effectiveness of the design method.