DocumentCode :
1596686
Title :
Generation of differentiable homomorphism function based on self-organizing polynomial data-mining algorithm
Author :
Kim, Youngwoo ; Narikiyo, Tatsuo
Author_Institution :
EcoTopia Sci. Inst., Nagoya Univ., Nagoya
fYear :
2007
Firstpage :
107
Lastpage :
112
Abstract :
This paper presents a new controller design method based on the data-mining polynomial algorithm. We show application of a polynomial data-mining algorithm to controller design, where an input-state linearized polynomial vehicle model is developed for a very low speed operation and without introducing any process with fudge factor, control inputs of nonlinear system are obtained in the original coordinate. We verify the developed modeling method and controller design method through some numerical experiments.
Keywords :
control engineering computing; control system synthesis; data mining; matrix algebra; nonlinear control systems; polynomials; remotely operated vehicles; self-adjusting systems; controller design method; differentiable homomorphism function; input-state linearized polynomial vehicle model; nonlinear system; self-organizing polynomial data-mining algorithm; unmanned vehicle system; Design methodology; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; Polynomials; Power electronics; Predictive models; Space technology; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics, 2007. ICPE '07. 7th Internatonal Conference on
Conference_Location :
Daegu
Print_ISBN :
978-1-4244-1871-8
Electronic_ISBN :
978-1-4244-1872-5
Type :
conf
DOI :
10.1109/ICPE.2007.4692358
Filename :
4692358
Link To Document :
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