東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Robust filtering and fault detection...

Wang, Xiao-Lei.

Linked to FindBook

Google Book

Amazon

博客來

Robust filtering and fault detection for T-S fuzzy systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robust filtering and fault detection for T-S fuzzy systems/ by Xiao-Lei Wang, Guang-Hong Yang, Yu-Long Wang.
Author:	Wang, Xiao-Lei.
other author:	Yang, Guang-Hong.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xi, 148 p. :ill. (chiefly color), digital ;24 cm.
[NT 15003449]:	Introduction -- Fundamentals of T-S Fuzzy Systems -- Robust Filtering Theory -- Fault Detection Techniques for T-S Fuzzy Systems -- Filtering and Fault Detection Under Asynchronous Conditions -- Event-Triggered Robust Filtering -- Case Studies and Applications -- Future Directions and Research Areas.
Contained By:	Springer Nature eBook
Subject:	Fuzzy systems. -
Online resource:	https://doi.org/10.1007/978-981-96-5818-3
ISBN:	9789819658183

Robust filtering and fault detection for T-S fuzzy systems
Wang, Xiao-Lei.

Robust filtering and fault detection for T-S fuzzy systems[electronic resource] /by Xiao-Lei Wang, Guang-Hong Yang, Yu-Long Wang. - Singapore :Springer Nature Singapore :2025. - xi, 148 p. :ill. (chiefly color), digital ;24 cm.

Introduction -- Fundamentals of T-S Fuzzy Systems -- Robust Filtering Theory -- Fault Detection Techniques for T-S Fuzzy Systems -- Filtering and Fault Detection Under Asynchronous Conditions -- Event-Triggered Robust Filtering -- Case Studies and Applications -- Future Directions and Research Areas.

This book conducts an in-depth research on robust filtering and fault detection for a class of T-S fuzzy systems. On the basis of the existing research on T-S fuzzy theory, robust filtering theory, and fault diagnosis theory, some new and effective technologies are proposed to solve the problems of robust filtering and fault detection for a class T-S fuzzy systems, while overcoming the shortcomings and limitations of the existing solutions. This book introduces new design solutions for a class of T-S fuzzy systems to address the existing problems in the research of robust filtering and fault detection, namely 1) two new filtering methods are explored to obtain better filtering results than the existing approaches; 2) a new event-triggered filtering scheme is proposed for T-S fuzzy systems with bounded disturbances, which realizes that the designed observer gains in the absence of event-triggered mechanisms are also applicable to the case with event-triggered mechanisms; 3) two new methods are constructed to deal with the asynchronous problems of premise variables effectively, which overcome the defects and limitations of the existing ones; and 4) an effective fault detection scheme for handling measurement outliers is constructed, which can avoid the occurrence of false alarms. This book is intended to inspire researchers and engineers, offering deeper insights into robust filtering and fault detection for T-S fuzzy systems, and equipping them with the latest advancements in fuzzy system theory, robust filtering, and fault diagnosis. It also provides valuable theoretical references for engineers tackling practical engineering problems.

ISBN: 9789819658183

Standard No.: 10.1007/978-981-96-5818-3doiSubjects--Topical Terms:

535881
Fuzzy systems.

LC Class. No.: TA169.6

Dewey Class. No.: 620.0044

Robust filtering and fault detection for T-S fuzzy systems
LDR:03005nmm a2200325 a 4500 001 2410364
003 DE-He213
005 20250531130238.0
006 m d
007 cr nn 008maaau
008 260204s2025 si s 0 eng d
020 $a 9789819658183 $q (electronic bk.)
020 $a 9789819658176 $q (paper)
024 7 $a 10.1007/978-981-96-5818-3 $2 doi
035 $a 978-981-96-5818-3
040 $a GP $c GP
041 0 $a eng
050 4 $a TA169.6
072 7 $a TJFM $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 620.0044 $2 23
090 $a TA169.6 $b .W246 2025
100 1 $a Wang, Xiao-Lei. $3 3784212
245 1 0 $a Robust filtering and fault detection for T-S fuzzy systems $h [electronic resource] / $c by Xiao-Lei Wang, Guang-Hong Yang, Yu-Long Wang.
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2025.
300 $a xi, 148 p. : $b ill. (chiefly color), digital ; $c 24 cm.
505 0 $a Introduction -- Fundamentals of T-S Fuzzy Systems -- Robust Filtering Theory -- Fault Detection Techniques for T-S Fuzzy Systems -- Filtering and Fault Detection Under Asynchronous Conditions -- Event-Triggered Robust Filtering -- Case Studies and Applications -- Future Directions and Research Areas.
520 $a This book conducts an in-depth research on robust filtering and fault detection for a class of T-S fuzzy systems. On the basis of the existing research on T-S fuzzy theory, robust filtering theory, and fault diagnosis theory, some new and effective technologies are proposed to solve the problems of robust filtering and fault detection for a class T-S fuzzy systems, while overcoming the shortcomings and limitations of the existing solutions. This book introduces new design solutions for a class of T-S fuzzy systems to address the existing problems in the research of robust filtering and fault detection, namely 1) two new filtering methods are explored to obtain better filtering results than the existing approaches; 2) a new event-triggered filtering scheme is proposed for T-S fuzzy systems with bounded disturbances, which realizes that the designed observer gains in the absence of event-triggered mechanisms are also applicable to the case with event-triggered mechanisms; 3) two new methods are constructed to deal with the asynchronous problems of premise variables effectively, which overcome the defects and limitations of the existing ones; and 4) an effective fault detection scheme for handling measurement outliers is constructed, which can avoid the occurrence of false alarms. This book is intended to inspire researchers and engineers, offering deeper insights into robust filtering and fault detection for T-S fuzzy systems, and equipping them with the latest advancements in fuzzy system theory, robust filtering, and fault diagnosis. It also provides valuable theoretical references for engineers tackling practical engineering problems.
650 0 $a Fuzzy systems. $3 535881
650 0 $a Fault location (Engineering) $3 649702
650 0 $a Filters (Mathematics) $3 556522
650 1 4 $a Control, Robotics, Automation. $3 3592500
650 2 4 $a Communications Engineering, Networks. $3 891094
650 2 4 $a Complex Systems. $3 1566441
650 2 4 $a Optimization. $3 891104
700 1 $a Yang, Guang-Hong. $3 1097377
700 1 $a Wang, Yu-Long. $3 3632020
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-96-5818-3
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)