LinearProcess (Hipparchus 3.0 API)

Type Parameters:

T - the type of the measurements
```
public interface LinearProcess<T extends Measurement>
```
Linear process that can be estimated by a LinearKalmanFilter.
This interface must be implemented by users to represent the behavior of the process to be estimated

A linear process is governed by the equation: \( x_k = A_{k-1} x_{k-1} + B_{k-1} u_{k-1} + w_{k-1} \) where
- A_k-1 is the state transition matrix in the absence of control,
- B_k-1 is the control matrix,
- u_k-1 is the command
- w_k-1 is the process noise, which has covariance matrix Q_k-1
Since:

1.3

See Also:

LinearKalmanFilter, NonLinearProcess

- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  LinearEvolution getEvolution(T measurement)
  Get the state evolution between two times.

- Method Detail
  - getEvolution
```
LinearEvolution getEvolution(T measurement)
```
    Get the state evolution between two times.
    
    Parameters:
    
    measurement - measurement to process
    
    Returns:
    
    state evolution