A new one-step-ahead predictive control algorithm

Author

Gang, Yan ; Ximing, Liang ; Zuqiang, Long ; Xiang, Li

Author_Institution

Sch. of Inf. Sci. & Eng., Central South Univ., Changsha

fYear

2008

fDate

16-18 July 2008

Firstpage

345

Lastpage

348

Abstract

A new one-step-ahead predictive control algorithm for a family of nonlinear MISO systems is presented. First, least squares support vector machine (LSSVM) with the quadratic multinomial function kernel is used to obtain the off-line nonlinear systemspsila model. Then, the analytical equation which includes the unknown optimal input increment and the known inputs/outputs is derived according to the predictive control mechanism. And finally the analytical equation is solved through numerical algorithm. The simulation result show the effectiveness and advantage of the one-step-ahead predictive control algorithm.

Keywords

least squares approximations; nonlinear control systems; predictive control; support vector machines; least squares support vector machine; nonlinear MISO systems; offline nonlinear systems model; one-step-ahead predictive control algorithm; quadratic multinomial function kernel; Economic forecasting; Educational institutions; Finance; Information science; Kernel; Least squares methods; Nonlinear equations; Prediction algorithms; Predictive control; Support vector machines; Least squares support vector machine; Predictive control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference, 2008. CCC 2008. 27th Chinese

Conference_Location

Kunming

Print_ISBN

978-7-900719-70-6

Electronic_ISBN

978-7-900719-70-6

Type

conf

DOI

10.1109/CHICC.2008.4605330

Filename

4605330