Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science) - Info and Reading Options
By John L. Crassidis
"Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)" is published by Chapman & Hall/CRC in April 23, 2004, it has 608 pages and the language of the book is English.
“Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)” Metadata:
- Title: ➤ Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)
- Author: John L. Crassidis
- Language: English
- Number of Pages: 608
- Publisher: Chapman & Hall/CRC
- Publish Date: April 23, 2004
“Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)” Subjects and Themes:
- Subjects: ➤ System analysis - Estimation theory - Systems Analysis - Théorie de l'estimation - Analyse de systèmes - SCIENCE - System Theory - TECHNOLOGY & ENGINEERING - Operations Research
Edition Specifications:
- Format: Hardcover
- Weight: 2.2 pounds
- Dimensions: 9.5 x 6.3 x 1.4 inches
Edition Identifiers:
- The Open Library ID: OL8795369M - OL16930801W
- Online Computer Library Center (OCLC) ID: 275173150 - 54371826
- Library of Congress Control Number (LCCN): 2004043817
- ISBN-13: 9781584883913
- ISBN-10: 158488391X
- All ISBNs: 158488391X - 9781584883913
AI-generated Review of “Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)”:
Snippets and Summary:
THE celebrated concept of least squares approximation is introduced in this chapter.
"Optimal Estimation of Dynamic Systems (Chapman & Hall/Crc Applied Mathematics & Nonlinear Science)" Description:
The Open Library:
"Optimal Estimation of Dynamic Systems explores topics that are important in the field of control where the signals received are used to estimate the state of highly sensitive processes such as the flight path of a plane, the orbit of a space vehicle, or the dynamics of a complicated machine. The authors use dynamic models from mechanical and aerospace engineering to provide immediate results of estimation concepts with a minimal reliance on mathematical skills. The book documents the development of the central concepts and methods of optimal estimation theory in a manner accessible to engineering students, applied mathematicians, and practicing engineers. It includes rigorous theoretical derivations and a significant amount of qualitative discussion and judgments, frequently in the context of solving example problems. It also presents prototype algorithms, giving detail and discussion to simulate development of efficient computer programs and intelligent use of them."--BOOK JACKET.
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