基于离散隐马尔可夫模型的网络化控制系统最优控制器设计(英文)

DTHMM based optimal controller design for networked control systems

设计了一种最优控制器来补偿网络化控制系统中控制器到执行器之间的随机时延对系统的影响.引入了离散隐马尔可夫模型来预测当前采样周期内控制器到执行器之间的时延,并将这一预测值考虑到最优控制器的设计中以保证系统的均方稳定.仿真实验验证了最优控制器的有效性及其相对于状态反馈控制器的优越性.

An optimal controller was designed to compensate for the effect of the stochastic controller-to-actuator（C-A） delays in the networked control system（NCS）.The discrete-time hidden Markov model（DTHMM） was introduced to achieve the prediction of the C-A delay in the current sampling period,and the optimal controller was designed to guarantee the mean square stability of the NCS by taking the predicted C-A delay into account.The simulation experiments demonstrat the effectiveness of the optimal controller and its superiority to a state-feedback controller.