Design and Stability Analysis of Nonlinear Networked Control Systems with Random Delay Based on Neural Network
Design and stability analysis of nonlinear networked control system with random network delay in both feedback and forward channels are concerned in this paper. A new control strategy, which consists of control prediction generator and time delay compensator, was developed to compensate for the time delay in an active way. Neural Network (NN) was employed to generate predictive state vector, then through the controller, predictive control vector can be achieved. To illustrate the performance of the proposed scheme for uncertain nonlinear system, numerical simulations are carried out. The results show the feasibility and efficiency of the control strategy.
Nonlinear Networked Control System (NNCS) predictive control and Neural Network (NN)
Runqi Chai Lijing Dong Baihai Zhang
College of Science, North China University of Technology, Beijing, 100041 School of Automation, Beijing Institute of Technology, Beijing, 100081 Key Laboratory of Intelligent
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
523-528
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）