A stochastic approximation based state estimation algorithm for Stochastic Hybrid Systems

Author(s):  
Weiyi Liu ◽  
Inseok Hwang
2011 ◽  
Vol 14 ◽  
pp. 254-270 ◽  
Author(s):  
Jun H. Park ◽  
Boris Rozovskii ◽  
Richard B. Sowers

AbstractOur focus in this work is to investigate an efficient state estimation scheme for a singularly perturbed stochastic hybrid system. As stochastic hybrid systems have been used recently in diverse areas, the importance of correct and efficient estimation of such systems cannot be overemphasized. The framework of nonlinear filtering provides a suitable ground for on-line estimation. With the help of intrinsic multiscale properties of a system, we obtain an efficient estimation scheme for a stochastic hybrid system.


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