DocumentCode
2087630
Title
Approximated feedback linearization of nonlinear systems
Author
Jang, Yu Jin ; Kim, Sang Woo
Author_Institution
Dept. of Electron. & Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea
Volume
1
fYear
2002
fDate
2002
Firstpage
582
Abstract
Obtaining a linearizing feedback and a coordinate transformation map is very difficult, even though the system is feedback linearizable. It is known that finding a desired transformation map and feedback is equivalent to finding an integrating factor for an annihilating one-form for single input nonlinear systems. It is also known that such an integrating factor can be approximated using the simple CIR method and tensor product splines. In the paper, it is shown that m integrating factors can always be approximated whenever a nonlinear system with m inputs is feedback linearizable. Next, m zero-forms can be constructed by utilizing these m integrating factors and the same methodology in the single input case. Hence, the coordinate transformation map is obtained.
Keywords
feedback; matrix algebra; multivariable control systems; nonlinear control systems; splines (mathematics); tensors; CIR method; annihilating one-form; approximated feedback linearization; coordinate transformation map; integrating factor; linearizing feedback; nonlinear systems; single input nonlinear systems; tensor product splines; Control systems; Feedback; Gratings; Linear approximation; Linear systems; Multi-layer neural network; Neurofeedback; Nonlinear systems; Tensile stress; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2002. Proceedings of the 2002
ISSN
0743-1619
Print_ISBN
0-7803-7298-0
Type
conf
DOI
10.1109/ACC.2002.1024868
Filename
1024868
Link To Document