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 :
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