网络化控制系统随机时延的补偿研究(英文)

Compensation for the stochastic delays in networked control systems

在网络化控制系统中引入离散隐马尔可夫模型,建立网络状态与控制器-执行器时延之间的概率模型.网络化控制系统被建模成一个马尔可夫跳变线性系统,并预测出当前采样周期内的控制器-执行器时延.使用该预测值设计一个状态反馈控制器,实现对控制器-执行器时延的补偿.对比仿真实验验证了所提方法的优越性.

The discrete-time hidden Markov model is employed to model the probabilistic relation between the network states and the controller-to-actuator （C-A） delays in networked control systems （NCSs）. The NCS is modeled as a Markovian jump linear system and the C-A delay in the current sampling period is predicted. By taking the prediction into account, a state-feedback controller is designed to compensate for the stochastic C-A delays. The superiority of the proposed method is demonstrated by the comparative simulation experiments.