£107.98

Springer Estimators for Uncertain Dynamic Systems - Vol 458

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Description

Understanding the state of dynamic processes is a fundamental requirement when solving control and design problems across multiple disciplines. This academic text from Springer, part of the Mathematics and Its Applications series (Volume 458), addresses the necessity of constructing estimators for systems facing inherent uncertainties and measurement noise. Whether you are working in aerospace engineering, naval engineering, energetics, economics, or biology, knowing the state of investigated processes is vital. This book explores how estimators recover required information about system states from available measurement data. By examining how to solve estimation problems in an optimal way, the text leads into the formulation of various variational problems. This resource provides the mathematical foundation needed to handle the complexities of real-world dynamic systems where noise and uncertainty are present.

Key Features

Addresses the necessity of constructing estimators for dynamic systems facing inherent uncertainties and measurement noise.

Provides methods to recover required information about system states from available measurement data.

Explores the formulation of different variational problems through optimal estimation solutions.

Applicable to diverse fields including aerospace, naval engineering, energetics, economics, and biology.

Part of the Mathematics and Its Applications series, volume 458, published by Springer.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
06 October 2012
Listed Since
07 November 2013

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