Title :
LS-SVR based nonlinear adaptive direct Generalized Predictive Control
Author :
Chuntao Cai ; Jianhua Li ; Qunli Xia
Author_Institution :
School of Aerospace, Beijing Institute of technology, China, 100081
Abstract :
Generalized Predictive Control (GPC) has a strong ability of overcoming load disturbance, random noise and delay change, and the selected model has less parameter. But it also has some problems such as big amount of calculation and no consideration on both rapidity and over modulation. An adaptive direct GPC method is proposed based on LS-SVR and tracking error. This method uses LS-SVR method to design predictive controller, and uses a modified projection algorithm based on tracking error to adjust the weight of LS-SVR adaptively, in order to avoid the calculating of the inverse matrix. The result indicates that the method is not only very effective but also reduces the calculation amount.
Keywords :
Generalized predictive control; LS-SVR; Nonlinear system; Self-adaptive;
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
DOI :
10.1049/cp.2012.1223