Title :
State estimation in large-scale open channel networks using particle filters
Author :
Rafiee, Mehran ; Barrau, Axel ; Bayen, A.
Author_Institution :
Dept. of Mech. Eng., Univ. of California, Berkeley, CA, USA
Abstract :
We consider the problem of estimating flow state in real time in large-scale open channel networks. After constructing a state space model of the flow based on the Saint-Venant equations, we implement the optimal sequential importance resampling (SIR) filter to perform state estimation using some additional flow measurements. The estimation method is implemented using a model of a network of 19 subchannels and one reservoir, Clifton Court Forebay, in Sacramento-San Joaquin Delta in California and the numerical results are presented.
Keywords :
channel flow; flow measurement; geophysics computing; hydrological techniques; importance sampling; particle filtering (numerical methods); reservoirs; shallow water equations; state estimation; California; Clifton Court Forebay; Sacramento-San Joaquin Delta; Saint-Venant equations; flow measurements; flow state estimation; flow state space model; large-scale open channel networks; optimal SIR filter; optimal sequential importance resampling filter; particle filters; Boundary conditions; Data assimilation; Equations; Mathematical model; Noise measurement; Particle filters; Rivers;
Conference_Titel :
American Control Conference (ACC), 2012
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4577-1095-7
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2012.6315186
