DocumentCode
582750
Title
Global optimized algorithm for weighted function of multi-model system
Author
Shan, Chen ; Tianhong, Pan
Author_Institution
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
fYear
2012
fDate
25-27 July 2012
Firstpage
7052
Lastpage
7055
Abstract
There is mismatch phenomenon between local model and weighted function in multi-model system. In order to overcome this problem, an online optimization algorithm is presented by the enlightenment of the basic properties of multimodel system. Firstly, based on the global equations and the current input/output data of multi-model system, the optimized algorithm is deduced by least square algorithm. Then, the corresponding convergence analysis is given. In the end, a simulation experiment shows the effectiveness of the proposed algorithm.
Keywords
convergence of numerical methods; least squares approximations; optimisation; convergence analysis; global equations; global optimized algorithm; input-output data; least squares algorithm; local model; multimodel system; online optimization algorithm; weighted function; Algorithm design and analysis; Convergence; Educational institutions; Electronic mail; Estimation; Mathematical model; Neural networks; Convergence; Least square algorithm; Multiple Model; Weighted function;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2012 31st Chinese
Conference_Location
Hefei
ISSN
1934-1768
Print_ISBN
978-1-4673-2581-3
Type
conf
Filename
6391184
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