// Kalman gain double k = errorCov / (errorCov + r);

<dependency> <groupId>org.junit.jupiter</groupId> <artifactId>junit-jupiter</artifactId> <version>5.10.0</version> <scope>test</scope> </dependency> class KalmanFilterTest

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;

public KalmanFilter(double q, double r) this.q = q; this.r = r;

Social media & sharing icons powered by UltimatelySocial
Facebook20