東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Nonlinear filtering = methods and ap...

Chandra, Kumar Pakki Bharani.

FindBook

Google Book

Amazon

博客來

Nonlinear filtering = methods and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Nonlinear filtering/ by Kumar Pakki Bharani Chandra, Da-Wei Gu.
其他題名:	methods and applications /
作者:	Chandra, Kumar Pakki Bharani.
其他作者:	Gu, Da-Wei.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xix, 184 p. :ill., digital ;24 cm.
內容註:	Linear and Nonlinear Control Systems -- State Estimation and Prediction -- Linear Estimation Techniques -- Jacobian-Based Filters -- Unscented Kalman Filters -- Cubature Kalman Filters -- Variants of Cubature Kalman Filters -- Robustness Consideration of Filtering Algorithms.
Contained By:	Springer eBooks
標題:	Stochastic processes. -
電子資源:	https://doi.org/10.1007/978-3-030-01797-2
ISBN:	9783030017972

Nonlinear filtering = methods and applications /
Chandra, Kumar Pakki Bharani.

Nonlinear filteringmethods and applications /[electronic resource] :by Kumar Pakki Bharani Chandra, Da-Wei Gu. - Cham :Springer International Publishing :2019. - xix, 184 p. :ill., digital ;24 cm.

Linear and Nonlinear Control Systems -- State Estimation and Prediction -- Linear Estimation Techniques -- Jacobian-Based Filters -- Unscented Kalman Filters -- Cubature Kalman Filters -- Variants of Cubature Kalman Filters -- Robustness Consideration of Filtering Algorithms.

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters, etc. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems. A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods help readers to a fundamental understanding and easier coding of those algorithms; and MATLAB® codes associated with case-study applications can be downloaded from the Springer Extra Materials website.

ISBN: 9783030017972

Standard No.: 10.1007/978-3-030-01797-2doiSubjects--Topical Terms:

520663
Stochastic processes.

LC Class. No.: QA274 / .C436 2019

Dewey Class. No.: 519.23

Nonlinear filtering = methods and applications /
LDR:02810nmm a2200325 a 4500 001 2178005
003 DE-He213
005 20190614135933.0
006 m d
007 cr nn 008maaau
008 191122s2019 gw s 0 eng d
020 $a 9783030017972 $q (electronic bk.)
020 $a 9783030017965 $q (paper)
024 7 $a 10.1007/978-3-030-01797-2 $2 doi
035 $a 978-3-030-01797-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA274 $b .C436 2019
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 519.23 $2 23
090 $a QA274 $b .C456 2019
100 1 $a Chandra, Kumar Pakki Bharani. $3 3381748
245 1 0 $a Nonlinear filtering $h [electronic resource] : $b methods and applications / $c by Kumar Pakki Bharani Chandra, Da-Wei Gu.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xix, 184 p. : $b ill., digital ; $c 24 cm.
505 0 $a Linear and Nonlinear Control Systems -- State Estimation and Prediction -- Linear Estimation Techniques -- Jacobian-Based Filters -- Unscented Kalman Filters -- Cubature Kalman Filters -- Variants of Cubature Kalman Filters -- Robustness Consideration of Filtering Algorithms.
520 $a This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters, etc. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems. A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. Nonlinear Filtering is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design. The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of nonlinear filtering algorithms in real-world applications; detailed derivation and complete algorithms for nonlinear filtering methods help readers to a fundamental understanding and easier coding of those algorithms; and MATLAB® codes associated with case-study applications can be downloaded from the Springer Extra Materials website.
650 0 $a Stochastic processes. $3 520663
650 0 $a Filters (Mathematics) $3 556522
650 1 4 $a Control and Systems Theory. $3 3381515
650 2 4 $a Signal, Image and Speech Processing. $3 891073
700 1 $a Gu, Da-Wei. $3 896765
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-01797-2
950 $a Intelligent Technologies and Robotics (Springer-42732)