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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications)
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A.I. Matasov 作者
Springer
譯者
1999-01-31 出版日期
430 頁數
USD 139.00 價格
Hardcover
叢書系列
9780792352785 圖書編碼

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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


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Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 著者簡介

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 著者簡介

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Estimators for Uncertain Dynamic Systems (Mathematics and Its Applications) 在線電子書 圖書描述

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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