Kalman Filter Based on Wavelet Multi-scale Gas Forecasting System

Based on modern control theory´s method, the research and the exploration gush out the process description the damp are the discrete systems, proposed unified the wavelet multi-scale principle by the Kalman filter to carry on the denoising most superior estimate and the real-time forecast to the system modeling. Uses the state space model, uses the preceding time the estimated value and the present time observed value renews to the state variable estimate, realizes to the gas predict that the use wavelet theory optimization algorithm precision. Have confirmed the algorithm feasibility through the experiment simulation and the measured data fitting, for the gas forecast that has provided a new mentality.