Predictive Control for Varying Sampling Period System in NCS

摘要：

A predictive control based on online LSSVM (Least Squares Support Vector Machine) is proposed to aim at the problem of varying sampling period in NCS (Networked Control System). Utilizing training data window and training data threshold, an online training method which adapts to control systems is developed based on LSSVM. When kernel function is linear in online LSSVM, the solution of control variable can be solved integrating the method of predictive control. The simulations show that the method has excellent robustness to varying sampling period with time-delay and packer loss in NCS.

关键词： varying sampling period predictive control online training lssvm networked control system

作者: Bicheng Lei Jinbiao Chen Shiqinq Zhang

作者单位: College of Physics and Electronic Engineering Taizhou University,Taizhou,China

会议类型: 国际会议

会议名称: 2009 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2009)(2009年检测技术与机械自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 836-840

在线出版日期: 2009-04-11（万方平台首次上网日期，不代表论文的发表时间）