Data assimilation for supporting optimum control in large-scale river networks.

Dirk Schwanenberg, Arend van Breukelen,Stef Hummel

ICNSC(2011)

引用 12|浏览4
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关键词
Kalman filters,data assimilation,flow control,hydraulic control equipment,infinite horizon,iterative methods,large-scale systems,nonlinear control systems,optimisation,predictive control,rivers,water resources,DA techniques,EKF,MPC performance,NMPC algorithm,adapting parameters,complex river network,data assimilation techniques,derivative-free optimization algorithm,ensemble Kalman filter,finite-horizon optimization,flow routing,hydraulic structures,iterative optimization,large-scale river networks,lead time accuracy,model updating,nonlinear internal process models,nonlinear model predictive control algorithm,offline system identification,online parameter updating,optimum control,output correction,parameter optimization,real-time control,reduced internal models,relevant physical phenomena,roughness coefficients,short-term control horizon,underlying kinematic wave model
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