Estimators for Uncertain Dynamic Systems (Paperback, Softcover reprint of the original 1st ed. 1998)

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."

General

Imprint:	Springer
Country of origin:	Netherlands
Series:	Mathematics and Its Applications, 458
Release date:	October 2012
First published:	1998
Authors:	A.I. Matasov
Dimensions:	240 x 160 x 23mm (L x W x T)
Format:	Paperback
Pages:	420
Edition:	Softcover reprint of the original 1st ed. 1998
ISBN-13:	978-9401062367
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
LSN:	9401062366
Barcode:	9789401062367

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