DocumentCode
3410508
Title
Modeling Method of Monitoring Nonlinear System by Combining Neural Network with Partial Least Squares
Author
Zhu, Hongjun
Author_Institution
Southwest Univ. of Sci. & Technol. Mianyang, Mianyang
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
3117
Lastpage
3121
Abstract
By combining the ability of neural network to express nonlinear relationship of system inputs and outputs with the robustness of partial least squares, the complicated nonlinear system input/output model is established in the case of fewer input/output data. This model was used to control and monitor the nonlinear system to achieve its optimum state.
Keywords
least squares approximations; monitoring; neurocontrollers; nonlinear control systems; input-output model; modeling method; neural network; nonlinear system control; nonlinear system monitoring; partial least squares; principal components; Condition monitoring; Least squares methods; Manufacturing automation; Matrix decomposition; Neural networks; Nonlinear control systems; Nonlinear systems; Personal communication networks; Robustness; System performance; Monitoring; Neural network; Nonlinear system; Partial Least Squares;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4244-0828-3
Electronic_ISBN
978-1-4244-0828-3
Type
conf
DOI
10.1109/ICMA.2007.4304059
Filename
4304059
Link To Document