Title :
The application of multi-level recursive prediction in time-varying system
Author :
Ma, Jie ; Li, Di
Author_Institution :
Autom. Coll., Beijing Inf. Sci. & Technol. Univ., Beijing, China
Abstract :
The Multi-level recursive prediction is a new method based on statistics, which is suitable for dynamic system. In this paper multi-level recursive prediction method is studied and applied in various time-varying systems. The simulated results from two time-varying systems are presented. One is the malfunction prediction of chemical Continuous Stirred Tank Reactor (CSTR) system and the other is time series prediction of ship rolling movement, from which we conclude that the multilevel recursion method is able to predict malfunction of nonlinear systems with good prediction precision.
Keywords :
multivariable control systems; nonlinear systems; time-varying systems; dynamic system; malfunction prediction; multilevel recursive prediction; nonlinear systems; ship rolling movement; time varying system; Chemical industry; Chemical products; Continuous-stirred tank reactor; Marine vehicles; Prediction methods; Predictive models; Production systems; Statistics; Time varying systems; Weather forecasting; CSTR system; Multi-level recursive prediction; malfunction prediction technique; prediction of ship rolling movement;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246288
