DocumentCode
2650297
Title
Approximate feedback linearization: approximate integrating factors
Author
Banaszuk, Andrzej ; Hauser, John
Author_Institution
Sch. of Math., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
2
fYear
1994
fDate
29 June-1 July 1994
Firstpage
1695
Abstract
Under the assumption of linear controllability a single input nonlinear system is feedback linearizable if and only if its characteristic distribution is involutive. We define a characteristic one-form to be any one-form annihilating the characteristic distribution. A characteristic one-form is defined uniquely up to scaling by a nonzero smooth function. It is well-known that there exist a scaling function (an integrating factor) that makes a given characteristic form exact if and only if the system is exactly feedback linearizable. For the systems that are not linearizable, we consider the problem of choosing an optimal scaling factor (best approximate integrating factor) for a given characteristic one form. The approximate integrating factors may be applied to approximate feedback linearization and to obtain some measures of noninvolutivity of the characteristic distribution.
Keywords
approximation theory; controllability; feedback; linearisation techniques; nonlinear systems; optimisation; approximate feedback linearization; approximate integrating factors; characteristic distribution; characteristic one-form; controllability; noninvolutivity; nonzero smooth function; optimal scaling factor; single input nonlinear system; Control systems; Controllability; Linear approximation; Linear feedback control systems; Nonlinear systems; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.752360
Filename
752360
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