Accession Number : AD0749146

Title :   Optimum Quantization and Parallel Algorithms for Nonlinear State Estimation,

Corporate Author : SYSTEMS CONTROL INC PALO ALTO CALIF

Personal Author(s) : Tse,Edison ; Larson,Robert E.

Report Date : SEP 1972

Pagination or Media Count : 14

Abstract : The paper describes different parallel algorithms for computing the conditional mean estimate for nonlinear dynamical systems. It is shown how the estimation problem can be reformulated so as to use parallel computers effectively to approximate the optimal state estimate. The problem of quantization, which plays an important role in numerical approximation, is considered. An optimal wide-sense quantizer is obtained which can be realized by simple hardware. The parallel algorithms described in the paper are suitable for a large class of parallel computers. (Author)

Descriptors :   (*ADAPTIVE CONTROL SYSTEMS, MATHEMATICAL MODELS), NONLINEAR SYSTEMS, DATA PROCESSING, PROBABILITY DENSITY FUNCTIONS, MATRICES(MATHEMATICS), REAL TIME, THEOREMS

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE