MATLAB CONTROL SYSTEM TOOLBOX 9 Dokumentacja Strona 240

  • Pobierz
  • Dodaj do moich podręczników
  • Drukuj
  • Strona
    / 591
  • Spis treści
  • BOOKMARKI
  • Oceniono. / 5. Na podstawie oceny klientów
Przeglądanie stron 239
10 Design Case Studies
10-56
xlabel('No. of samples'), ylabel('Error')
The first plot shows the true response (dashed line) and the filtered output
(solid line). The second plot compares the measurement error (dash-dot)
with the estimation error (solid). This plot shows that the noise level has been
significantly reduced. This is confirmed by the following error covariance
computations.
MeasErr = y-yv;
MeasErrCov = sum(MeasErr.*MeasErr)/length(MeasErr);
EstErr = y-ye;
EstErrCov = sum(EstErr.*EstErr)/length(EstErr);
The error covariance before filtering (measurement error) is
MeasErrCov
MeasErrCov =
1.1138
while the error covariance after filtering (estimation error) is only
y
y
e
Przeglądanie stron 239
1 2 ... 235 236 237 238 239 240 241 242 243 244 245 ... 590 591

Komentarze do niniejszej Instrukcji

Brak uwag