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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications)
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简体网页||繁体网页
A.I. Matasov 作者
Springer
译者
1999-01-31 出版日期
430 页数
USD 139.00 价格
Hardcover
丛书系列
9780792352785 图书编码

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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在线电子书 图书描述

The optimal estimation problems for linear dynamic systems, and in particular for systems with aftereffect, reduce to 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 a variational problem determines an optimal estimator. In addition, frequently the optimal algorithm for one noise model must operate under another, more complex assumption about noise. Hence, simplified algorithms must be used. It is important to evaluate the level of nonoptimality for the simplified algorithms. Since the original variational problems can be very difficult, the estimate of nonoptimality must be obtained without solving the original variational problem. In this book, guaranteed levels of nonoptimality for simplified estimation and control algorithms are constructed. To obtain these levels the duality theory for convex extremal problems is used. Audience: This book will be of interest to applied mathematicians, researchers and engineers who deal with estimation and control systems. The material, which requires a good knowledge of calculus, is also suitable for a two-semester graduate or postgraduate course.

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