DocumentCode :
3310952
Title :
Explicit feedback linearization of control systems
Author :
Tall, Issa Amadou
Author_Institution :
Southern Illinois Univ. Carbondale, Carbondale, IL, USA
fYear :
2009
fDate :
15-18 Dec. 2009
Firstpage :
7454
Lastpage :
7459
Abstract :
This paper addresses the problem of feedback linearization of nonlinear control systems via state and feedback transformations. Necessary and sufficient geometric conditions were provided in the early eighties but finding the feedback linearizing coordinates is subject to solving a system of partial differential equations and had remained open since then. We will provide in this paper a complete solution to the problem (see the companion paper where the state linearization has been addressed) by defining an algorithm that allows to compute explicitly the linearizing state coordinates and feedback for any nonlinear control system that is truly feedback linearizable. Each algorithm is performed using a maximum of n - 1 steps (n being the dimension of the system) and they are made possible by explicitly solving the Flow-box or straightening theorem. A possible implementation via software like Mathematica/Matlab/Maple using simple integrations, derivations of functions might be considered.
Keywords :
feedback; linear systems; linearisation techniques; nonlinear control systems; partial differential equations; Flow-box theorem; Maple software; Mathematica software; Matlab software; feedback linearization; feedback transformation; geometric conditions; nonlinear control systems; partial differential equations; state transformation; straightening theorem; Control systems; Controllability; Hafnium; Linear feedback control systems; Linear systems; Nonlinear control systems; Observability; Partial differential equations; State feedback; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location :
Shanghai
ISSN :
0191-2216
Print_ISBN :
978-1-4244-3871-6
Electronic_ISBN :
0191-2216
Type :
conf
DOI :
10.1109/CDC.2009.5400492
Filename :
5400492
Link To Document :
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