Title :
Predictive Control for Varying Sampling Period System in NCS
Author :
Lei, Bicheng ; Chen, Jinbiao ; Zhang, Shiqinq
Author_Institution :
Coll. of Phys. & Electron. Eng., Taizhou Univ., Taizhou, China
Abstract :
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.
Keywords :
control engineering computing; delay systems; distributed control; feedback; predictive control; support vector machines; kernel function; networked control system; online least squares support vector machine; online training method; packer loss; predictive control; time-delay; training data threshold; training data window; varying sampling period system; Control systems; Networked control systems; Neural networks; Predictive control; Quality of service; Robust control; Sampling methods; Support vector machine classification; Support vector machines; Training data; lssvm; networked control system; online training; predictive control; varying sampling period;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.254
