| Citation: | LIANG Hua, LI Ying-hong, WEI Xun-kai, LIU Jian-xun. Support vector machines PID adaptive control in aeroengine[J]. Journal of Aerospace Power, 2007, 22(1): 137-141. |
| [1] |
李应红,魏询楷,刘建勋.支持向量机的工程应用[M].北京:兵器工业出版社,2004,98-102.
|
| [2] |
郭迎清.航空发动机神经网络自适应控制研究[J].航空动力学报,2001,16(1),83-86.GUO Yingqing,A new neural network adaptive control scheme research[J].Journal of Aerospace Power,2001,16(1):83-86.
|
| [3] |
HUNT K J,SBARBARO D.Neural networks for nonlinear adaptive model control[J].IEE Proc-D,1991,138(5):428-435.
|
| [4] |
孙海忠.支持向量机及其在控制中的应用[D].浙江:浙江大学,2003.
|
| [5] |
Vapnik V.The nature of statistical learning theory[M].New York:Springer,1999.
|
| [6] |
Smola A.A tutorial on support vector regression[R].NC-TR-98-030,Royal Holloway College,University of London,UK,1998.
|
| [7] |
CAO L J,GU Q M,Dynamic support vector machines for non-stationary time series forecasting[J].Intelligent Data Analysis,2002,6(1):67-83.
|
| [8] |
HU Q,RANGAIAH G P.Adaptive internal model control of nonlinear process[J].Chemical Engineering Science,1999,54(9):1 205-1 218.
|
| [9] |
刘建勋,李应红,陈永刚,等.航空发动机LQR控制的模糊神经网络方法[J].航空动力学报,2004,19(6):838-843.LIU Jianxun,LI Yinghong,CHEN Yonggang,et al.Aeroengine LQR control based on fuzzy-neural networks[J].Journal of Aerospace Power,2004,19(6):838-843.
|