public interface ProcessModel
KalmanFilter.| Modifier and Type | Method and Description | 
|---|---|
| RealMatrix | getControlMatrix()Returns the control matrix. | 
| RealMatrix | getInitialErrorCovariance()Returns the initial error covariance matrix. | 
| RealVector | getInitialStateEstimate()Returns the initial state estimation vector. | 
| RealMatrix | getProcessNoise()Returns the process noise matrix. | 
| RealMatrix | getStateTransitionMatrix()Returns the state transition matrix. | 
RealMatrix getStateTransitionMatrix()
RealMatrix getControlMatrix()
RealMatrix getProcessNoise()
KalmanFilter every
 prediction step, so implementations of this interface may return a modified process noise
 depending on the current iteration step.KalmanFilter.predict(), 
KalmanFilter.predict(double[]), 
KalmanFilter.predict(RealVector)RealVector getInitialStateEstimate()
Note: if the return value is zero, the Kalman filter will initialize the state estimation with a zero vector.
RealMatrix getInitialErrorCovariance()
Note: if the return value is zero, the Kalman filter will initialize the error covariance with the process noise matrix.
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