Package org.hipparchus.filtering.kalman.extended

Class NonLinearEvolution

java.lang.Object

org.hipparchus.filtering.kalman.extended.NonLinearEvolution

public class NonLinearEvolution
extends Object

Container for non-linear process evolution data.

Since:

1.3

See Also:

• NonLinearProcess

Constructor Summary

Constructors

Constructor	Description
NonLinearEvolution(double currentTime, RealVector currentState, RealMatrix stateTransitionMatrix, RealMatrix processNoiseMatrix, RealMatrix measurementJacobian)	Simple constructor.

Method Summary

Modifier and Type	Method	Description
RealVector	getCurrentState()	Get current state.
double	getCurrentTime()	Get current time.
RealMatrix	getMeasurementJacobian()	Get measurement Jacobian.
RealMatrix	getProcessNoiseMatrix()	Get process noise.
RealMatrix	getStateTransitionMatrix()	Get state transition matrix between previous and current state.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

NonLinearEvolution

public NonLinearEvolution(double currentTime,
 RealVector currentState,
 RealMatrix stateTransitionMatrix,
 RealMatrix processNoiseMatrix,
 RealMatrix measurementJacobian)

Simple constructor.

Parameters:

currentTime - current time

currentState - state vector at current time

stateTransitionMatrix - state transition matrix between previous and current state

processNoiseMatrix - process noise

measurementJacobian - Jacobian of the measurement with respect to the state (may be null if measurement should be ignored)

Method Details

getCurrentTime

public double getCurrentTime()

Get current time.

Returns:

current time

getCurrentState

public RealVector getCurrentState()

Get current state.

Returns:

current state

getStateTransitionMatrix

public RealMatrix getStateTransitionMatrix()

Get state transition matrix between previous and current state.

Returns:

state transition matrix between previous and current state

getProcessNoiseMatrix

public RealMatrix getProcessNoiseMatrix()

Get process noise.

Returns:

process noise

getMeasurementJacobian

public RealMatrix getMeasurementJacobian()

Get measurement Jacobian.

Returns:

Jacobian of the measurement with respect to the state (may be null if measurement should be ignored)