public Instant getTimestamp() return timestamp; public double getStrain() return strain;
@Test void convergesToConstantSignal() KalmanFilter kf = new KalmanFilter(1e-5, 1e-2); double[] measurements = 0.5, 0.5, 0.5, 0.5; for (double m : measurements) kf.update(m); assertEquals(0.5, kf.update(0.5), 1e-4); dass 341 eng jav full
public class HealthMonitorApp public static void main(String[] args) throws Exception List<Sensor> sensors = List.of(new StrainGauge("SG1")); ExecutorService exec = Executors.newFixedThreadPool(sensors.size()); KalmanFilter filter = new KalmanFilter(1e-5, 1e-2); double safetyThreshold = 0.75; // strain units public Instant getTimestamp() return timestamp
public class KalmanFilter private double estimate = 0.0; private double errorCov = 1.0; private final double q; // process noise private final double r; // measurement noise public double getStrain() return strain
for (Sensor s : sensors) pool.submit(() -> s.read(); System.out.println(s.getId() + ": " + s.getValue()); );
public KalmanFilter(double q, double r) this.q = q; this.r = r;
for (int i = 1; i < n; i++) double x = a + i * h; sum += (i % 2 == 0 ? 2 : 4) * f.apply(x); return sum * h / 3.0;