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This paper is concerned with state filtering and the parameter estimation problem of noisy Hodgkin-Huxley neuronal model. The Cubature Kalman filter is applied to solve the joint estimation problem as an effective means of dealing with system noise and observation noise. The proposed state filtering method is based on the only measurable variable - membrane potential. In addition, the method is applicable...
In ship angular deformation measurement, Kalman filter used to estimate the deformation angle requires accurate dynamic flexure parameters. Traditionally, these dynamic flexure parameters are empirically set according to previous experience or determined from previously collected experimental data. Inevitably, the Kalman filter will perform poorly when the current application environment is differ...
This paper presents a GPS positioning method based on neural network adaptive Kalman filter. Using the innovation vector which reflects the degree how the model fits the data, and real-timely accessing to the innovation vector's ratio of the theoretical variance to the actual of variance, we can get the working conditions of Kalman filter. Then track the change of system parameters through neural...
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