FORMAL ALGORITHMS FOR CONTINUOUS-TIME NONLINEAR FILTERING AND SMOOTHING,

Abstract

Kalman's formal limiting procedure is applied to some recent results in sequential discrete-time nonlinear filtering and smoothing to obtain the corresponding estimation algorithms for continuous-time nonlinear dynamic systems. The resulting filtering algorithm is found to agree with the well-known Detchmendy-Sridhar filter which was obtained via another method. The present smoothing algorithm is a new result. It is argued that the combined filter-smoothing results here lead to an estimation algorithm which is second-order in both system dynamics and measurement function nonlinearity. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1969
Accession Number
AD0688108

Entities

People

  • J. S. Meditch

Organizations

  • Boeing

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Dynamics
  • Filters
  • Filtration

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.