具有非线性扰动的网络控制系统的鲁棒稳定化  

Robust stabilization of networked control systems with nonlinear perturbation

作　　者：于水情[1,2] 李俊民[1] 

机构地区：[1]西安电子科技大学理学院,西安710071 [2]西安财经学院统计学院,西安710100

出　　处：《控制与决策》2012年第12期1917-1920,共4页Control and Decision

基　　金：国家自然科学基金项目(60974139);中央高校基本科研业务费专项资金项目(72103676)

摘　　要：针对一类具有随机时延和非线性扰动的网络控制系统,利用变采样周期的方法,将连续被控对象离散化,使网络控制系统建模为部分转移概率未知的非线性Markov跳变系统.通过随机Lyapunov方法,给出保证整个闭环系统随机稳定的充分条件,同时得到非线性扰动项的最大界.仿真算例表明了所提出方法的有效性.For a class of networked control systems with random delay and nonlinear perturbation,by applying variableperiod sampling method,the discretization of networked control systems is modeled as a nonlinear Markovian jump systems with partly unknown transition probabilities.By means of the stochastic Lyapunov method,a sufficient condition is presented,which guarantees the stochastical stability of the closed-loop system and at the same time maximizes the bound on the nonlinearity.A simulation example is presented to illustrate the effectiveness of the proposed method.

关 键 词：网络控制系统 变采样周期 非线性扰动 部分转移概率未知 线性矩阵不等式 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]