Package org.apache.commons.math3.filter

Examples of org.apache.commons.math3.filter.KalmanFilter.predict()

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            final double[] state = filter.getStateEstimation();
            kalmanX.add(state[0]);
            kalmanY.add(state[2]);

            // update the kalman filter with the measurements
            filter.predict(controlVector);
            filter.correct(new double[] { mx, 0, my, 0 } );
        }

        chart.setXAxisTitle("Distance (m)");
        chart.setYAxisTitle("Height (m)");
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            measuredVoltageSeries.add(measuredVoltage);

            kalmanVoltageSeries.add(filter.getStateEstimation()[0]);
            covSeries.add(filter.getErrorCovariance()[0][0]);

            filter.predict();
            filter.correct(new double[] { measuredVoltage });
        }

        chart1.setYAxisTitle("Voltage");
        chart1.setXAxisTitle("Iteration");
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        if (cost == 0) break;
        regression.addData(Math.log(cost), m);

    }
   
    double d = regression.predict(Math.log(costThreshold));
   
    return qualifiedWage/d;
   
  }
 
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