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.
出处
《控制与决策》
EI
CSCD
北大核心
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)
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
networked control systems
variable-period sampling
nonlinear perturbation
partly unknown transition probabilities
linear matrix inequality