Title :
Study on an Intelligent Forecast Algorithm and its Using in Complex System
Author :
Fang, Jiandong ; Zhao, Yudong
Author_Institution :
Inner Mongolia Univ. of Technol., Huhhot
Abstract :
According to specificity of the complex system process with stochastic uncertainty and correlation, a kind of predictive method based on gray system theories is presented. A nonlinear and multi-variable predictive model approach is established by the Taylor series expansion extended the single deformation prediction model in order to estimate more. The effectiveness of the model is confirmed through a computational experience, and the feasibility of the solutions is stipulated at the same time. Thus this predictive control strategy introduces a new way for generic nonlinear control.
Keywords :
agriculture; large-scale systems; multivariable control systems; nonlinear control systems; predictive control; Taylor series expansion; complex system; deformation prediction model; generic nonlinear control; gray system theories; intelligent forecast algorithm; multi-variable predictive model approach; nonlinear predictive model approach; predictive method; stochastic uncertainty; Condition monitoring; Economic forecasting; Intelligent networks; Intelligent systems; Predictive models; Production; Stochastic systems; Taylor series; Technology forecasting; Uncertainty; complex system; extend information; precision control;
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
DOI :
10.1109/ICINIS.2008.97
