DocumentCode :
2663015
Title :
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
Link To Document :
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