scholarly journals STATIC AND DYNAMIC STATE ESTIMATION METHOD FOR SOUND ENVIRONMENT BY INTRODUCING FUZZY PROBABILITY

2001 ◽  
Vol 2001 (0) ◽  
pp. 195-200
Author(s):  
Akira Ikuta ◽  
Mitsuo Ohta ◽  
Yoko NAKASHIMA
Keyword(s):  
State Estimation ◽  
Estimation Method ◽  
Dynamic State ◽  
Fuzzy Probability ◽  
Sound Environment ◽  
Dynamic State Estimation

State Estimation for the Homogeneous 1-D Euler Equation by Unscented Kalman Filtering

2015 ◽  
Author(s):  
Sascha Wolff ◽  
Jan-Simon Schäpel ◽  
Phillip Berndt ◽  
Rudibert King
Keyword(s):  
Flow Field ◽  
Euler Equation ◽  
State Estimation ◽  
Kalman Filtering ◽  
Unscented Kalman Filter ◽  
Estimation Method ◽  
Dynamic State ◽  
Pressure Measurements ◽  
One Dimensional ◽  
Dynamic State Estimation

In this article we present a dynamic state estimation method for a one dimensional flow field which is described by the homogeneous Euler equation. The estimated quantities include the pressure, velocity, density and temperature field, which are of interest, for instance, for some combustion concepts. The algorithm relies only on a small number of discrete pressure measurements from the flow field. The influence of the number of used pressure measurements on the convergence speed of the algorithm is investigated. For the state estimation, an Unscented Kalman Filter scheme is exploited. The proposed method is applied in numerical simulations to demonstrate its effectiveness.

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