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
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;
Conference_Titel :
Control Conference (CCC), 2012 31st Chinese
Conference_Location :
Hefei
Print_ISBN :
978-1-4673-2581-3
