A procedure of hydrological forecasting using linear ARX model and Kalman filtering is presented. Model parameters have been determined adaptively. The application of Kalman filter techniques leads to autoregression (AR) and crossregression (X) coefficients estimates after each time increment. An example is given and conclusions proposed.
ASJC Scopus subject areas
- Water Science and Technology
- Geotechnical Engineering and Engineering Geology
- Ocean Engineering
- Mechanical Engineering