Doklady
Author :
Publisher :
Page : 404 pages
File Size : 49,18 MB
Release : 1992
Category : Chemistry, Physical and theoretical
ISBN :
Author :
Publisher :
Page : 404 pages
File Size : 49,18 MB
Release : 1992
Category : Chemistry, Physical and theoretical
ISBN :
Author : Akademii͡a︡ nauk SSSR.
Publisher :
Page : 446 pages
File Size : 46,76 MB
Release : 1990
Category : Biology
ISBN :
Author :
Publisher :
Page : pages
File Size : 43,50 MB
Release : 1933
Category : Science
ISBN :
Author :
Publisher :
Page : 364 pages
File Size : 15,50 MB
Release : 1965
Category : Science
ISBN :
Author :
Publisher :
Page : 252 pages
File Size : 50,1 MB
Release : 1993
Category : Chemistry
ISBN :
Author :
Publisher :
Page : 372 pages
File Size : 21,31 MB
Release : 2007
Category : Russian imprints
ISBN :
Author : Akademii︠a︡ nauk SSSR.
Publisher :
Page : 688 pages
File Size : 40,85 MB
Release : 1967
Category : History
ISBN :
Author :
Publisher :
Page : 252 pages
File Size : 10,68 MB
Release : 1993
Category : Earth sciences
ISBN :
Author : A.I. Matasov
Publisher : Springer Science & Business Media
Page : 428 pages
File Size : 33,38 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9401153221
When solving the control and design problems in aerospace and naval engi neering, energetics, economics, biology, etc., we need to know the state of investigated dynamic processes. The presence of inherent uncertainties in the description of these processes and of noises in measurement devices leads to the necessity to construct the estimators for corresponding dynamic systems. The estimators recover the required information about system state from mea surement data. An attempt to solve the estimation problems in an optimal way results in the formulation of different variational problems. The type and complexity of these variational problems depend on the process model, the model of uncertainties, and the estimation performance criterion. A solution of variational problem determines an optimal estimator. Howerever, there exist at least two reasons why we use nonoptimal esti mators. The first reason is that the numerical algorithms for solving the corresponding variational problems can be very difficult for numerical imple mentation. For example, the dimension of these algorithms can be very high.
Author : Akademii͡a nauk SSSR.
Publisher :
Page : 634 pages
File Size : 38,47 MB
Release : 1935-04
Category : Science
ISBN :