Analysis of variable-sampling networked control system based on neural network prediction

For linear time-invariant normal controlled plant, under the assumption that controller and actuator adopt the method of event-time driven the system become a variable-sampling networked control system. Because network-induced delay time is uncertain, it maybe is more than a variable-sampling period. Based on the predictive control value and the predictive feedback value the variable-sampling networked control system is modeled. At the same time grounding on the predictive error bound and the predictive time studied the condition of stability of the systems. Making used of the Neural Network forecast the predictive control value and the predictive feedback value. In the restriction of the predictive error bound and the predictive time, based on Neural Network predictive control the system is stability. Finally an example is given to illustrate the analysis results.