| DiscreteStateSpace | dss | DiscreteStateSpace(A = [1], B = [1], C = [1], D = [1]) | Discrete linear system model |
| Modelica.Units.SI.Time | sampleTime | 0.5 | Base sample time for discrete blocks |
| Real[size(dss.B, 1),size(dss.B, 2)] | wB | ones(size(dss.B, 1), size(dss.B, 2)) | Weighting matrix of the input noise covariance matrix of the previous instant |
| Real[size(dss.B, 2),size(dss.B, 2)] | Q | identity(size(dss.B, 2)) | Input or process noise covariance matrix of the previous instant |
| Real[size(dss.B, 2),size(dss.B, 2)] | Cq | MatricesMSL.cholesky(Q, false) | Input or process noise covariance matrix of the previous instant |
| Real[size(dss.C, 1),size(dss.C, 1)] | R | identity(size(dss.C, 1)) | Output or measurement noise covariance matrix of the previous instant |
| Real[size(dss.C, 1),size(dss.C, 1)] | Cr | MatricesMSL.cholesky(R, false) | Output or measurement noise covariance matrix of the previous instant |
| Real[size(dss.A, 1),size(dss.A, 1)] | P0 | 10*identity(size(dss.A, 1)) | Initial state covariance matrix of the previous instant |
| Real[size(dss.A, 1)] | x_init | fill(0, size(dss.A, 1)) | |
