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Machine learningNonlinear Estimation

Kichujio cha Kalman Kisicho na Harufu

Kichujio cha Kalman Kisicho na Harufu (UKF) ni algoriti isiyo ya mstari ya kukadiria hali inayokadiria mifumo isiyo ya mstari bila kuhitaji hesabu dhahiri ya Jacobian. Kikiwasilishwa na Julier na Uhlmann mnamo 1997, UKF hutumia mabadiliko yasiyo na harufu—njia ya uhakika ya kukamata takwimu za wastani na utofauti kupitia seti iliyochaguliwa kwa uangalifu ya pointi za sampuli (pointi za sigma)—na kuifanya kuwa sahihi zaidi kuliko Kichujio cha Kalman Kilichopanuliwa kwa mifumo isiyo ya mstari sana huku ikiepuka mzigo wa hesabu wa hesabu za derivative.

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Vyanzo

  1. Julier, S. J., & Uhlmann, J. K. (1997). A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on Automatic Control, 45(3), 477-482. link
  2. Wan, E. A., & Van Der Merwe, R. (2000). The unscented Kalman filter for nonlinear estimation. Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, 153-158. link
  3. Sarkka, S. (2013). Bayesian Filtering and Smoothing. Cambridge University Press. DOI: 10.1017/CBO9781139344203

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Unscented Kalman Filter. ScholarGate. https://scholargate.app/sw/control-theory/unscented-kalman-filter

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ScholarGateUnscented Kalman Filter (Unscented Kalman Filter). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/control-theory/unscented-kalman-filter · Seti ya data: https://doi.org/10.5281/zenodo.20539026