INVARIANT IMBEDDING AND SEQUENTIAL INTERPOLATING FILTERS FOR NONLINEAR PROCESSES,
Abstract
The study shows how a sequential solution can be obtained for a fairly general nonlinear interpolation problem using a least-squares criterion for estimation, along with invariant imbedding techniques. The equations of the sequential interpolating filter are obtained by first showing the interpolation problem to be equivalent to a two-point boundary-value problem. The two-point boundary-value problem is then converted to an initial-value problem by means of invariant imbedding, and the initial-value problem leads directly to a sequential filter. To avoid unnecessary matrix manipulations, the formulation and solution are given for the scalar case only. Generalization to the vector case is straightforward. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Nov 01, 1967
- Accession Number
- AD0662317
Entities
People
- A. Schumitzky
- Harriet H. Kagiwada
- R. Sridhar
- Robert E. Kalaba
Organizations
- RAND Corporation