國立高雄大學圖資館 |

登入

回首頁

Optimal estimation and information fusiontheory and algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimal estimation and information fusionby Ming Lei.
其他題名:	theory and algorithms /
作者:	Lei, Ming.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xx, 488 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-981-96-3173-5
ISBN:	9789819631735$q(electronic bk.)

Optimal estimation and information fusiontheory and algorithms /
Lei, Ming.

Optimal estimation and information fusiontheory and algorithms /[electronic resource] :by Ming Lei. - Singapore :Springer Nature Singapore :2025. - xx, 488 p. :ill., digital ;24 cm.

Overview of Stochastic Systems and Basic Concepts of Estimation -- Linear Estimation of Static Systems -- Linear Dynamic Systems with Random Inputs -- State Estimation for Discrete Time Linear Systems -- Extension of State Estimation for Discrete Time Linear Systems -- State Estimation for Discrete Time Nonlinear Systems -- Extended Kalman Filtering Unscented Transform Kalman Filtering -- Particle Filtering -- Theory and Methods of Data Association -- Maneuvering Target Tracking Theory and Methods -- Information Fusion Concepts, Models, and Structures -- Information Fusion Methods -- Application Examples: Algorithms, Simulation, and Analysis.

This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects. On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject. On the other hand, this book also serves as a reference material for technical developers in this field.

ISBN: 9789819631735$q(electronic bk.)

Standard No.: 10.1007/978-981-96-3173-5doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Optimal estimation and information fusiontheory and algorithms /
LDR:02586nmm a2200325 a 4500 001 682796
003 DE-He213
005 20250725130231.0
006 m d
007 cr nn 008maaau
008 251209s2025 si s 0 eng d
020 $a 9789819631735$q(electronic bk.)
020 $a 9789819631728$q(paper)
024 7 $a 10.1007/978-981-96-3173-5 $2 doi
035 $a 978-981-96-3173-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UN $2 bicssc
072 7 $a COM018000 $2 bisacsh
072 7 $a UN $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .L525 2025
100 1 $a Lei, Ming. $3 917312
245 1 0 $a Optimal estimation and information fusion $h [electronic resource] : $b theory and algorithms / $c by Ming Lei.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xx, 488 p. : $b ill., digital ; $c 24 cm.
505 0 $a Overview of Stochastic Systems and Basic Concepts of Estimation -- Linear Estimation of Static Systems -- Linear Dynamic Systems with Random Inputs -- State Estimation for Discrete Time Linear Systems -- Extension of State Estimation for Discrete Time Linear Systems -- State Estimation for Discrete Time Nonlinear Systems -- Extended Kalman Filtering Unscented Transform Kalman Filtering -- Particle Filtering -- Theory and Methods of Data Association -- Maneuvering Target Tracking Theory and Methods -- Information Fusion Concepts, Models, and Structures -- Information Fusion Methods -- Application Examples: Algorithms, Simulation, and Analysis.
520 $a This book mainly focuses on the theme of optimizing estimation and sensor information fusion processing for stochastic dynamic systems. It summarizes the basic theories and methods of optimizing estimation and information fusion direction, including stochastic system models, optimal estimation methods, linear state estimation, nonlinear state estimation, information fusion models, structures, data processing methods, data association based on multi-source data estimation, and other aspects. On the basis of years of teaching practice, the author optimizes the content layout, focuses on the basic theoretical methods of the subject, emphasizes the systematic nature of the theory and the rigor of expression, selectively cuts out some outdated content, and introduces some important and widely accepted new developments in the subject. On the other hand, this book also serves as a reference material for technical developers in this field.
650 0 $a Mathematical optimization. $3 183292
650 0 $a Automatic control. $3 182078
650 1 4 $a Data Engineering. $3 839346
650 2 4 $a Aerospace Technology and Astronautics. $3 309707
650 2 4 $a Signal, Speech and Image Processing. $3 919570
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-3173-5
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)