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

Volume

1

fYear

2009

fDate

11-12 April 2009

Firstpage

836

Lastpage

840

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on

Conference_Location

Zhangjiajie, Hunan

Print_ISBN

978-0-7695-3583-8

Type

conf

DOI

10.1109/ICMTMA.2009.254

Filename

5203101