國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in state estimation, diagno...

SpringerLink (Online service)

Advances in state estimation, diagnosis and control of complex systems

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in state estimation, diagnosis and control of complex systemsby Ye Wang.
作者:	Wang, Ye.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xxvii, 237 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Automatic controlMathematics.
電子資源:	https://doi.org/10.1007/978-3-030-52440-1
ISBN:	9783030524401$q(electronic bk.)

Advances in state estimation, diagnosis and control of complex systems
Wang, Ye.

Advances in state estimation, diagnosis and control of complex systems[electronic resource] /by Ye Wang. - Cham :Springer International Publishing :2021. - xxvii, 237 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems.

This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona's water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form.

ISBN: 9783030524401$q(electronic bk.)

Standard No.: 10.1007/978-3-030-52440-1doiSubjects--Topical Terms:

274653
Automatic control
--Mathematics.

LC Class. No.: TJ213 / .W35 2021

Dewey Class. No.: 629.80151

Advances in state estimation, diagnosis and control of complex systems
LDR:02302nmm a2200337 a 4500 001 594912
003 DE-He213
005 20200730130559.0
006 m d
007 cr nn 008maaau
008 211005s2021 sz s 0 eng d
020 $a 9783030524401$q(electronic bk.)
020 $a 9783030524395$q(paper)
024 7 $a 10.1007/978-3-030-52440-1 $2 doi
035 $a 978-3-030-52440-1
040 $a GP $c GP
041 0 $a eng
050 4 $a TJ213 $b .W35 2021
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.80151 $2 23
090 $a TJ213 $b .W246 2021
100 1 $a Wang, Ye. $3 887042
245 1 0 $a Advances in state estimation, diagnosis and control of complex systems $h [electronic resource] / $c by Ye Wang.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xxvii, 237 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
505 0 $a Introduction -- Set-based State Estimation Approaches for Descriptor Systems -- Distributed Set-membership Approach based on Zonotopes -- Set-based Fault Detection and Isolation for Descriptor Systems -- Set-based Fault Estimation for Descriptor Systems.
520 $a This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems. The research is fully motivated by real-world applications (i.e., Barcelona's water distribution network), which require control systems capable of taking into account their specific features and the limits of operations in the presence of uncertainties stemming from modeling errors and component malfunctions. Accordingly, the book first introduces a complete set-based framework for explicitly describing the effects of uncertainties in the descriptor systems discussed. In turn, this set-based framework is used for state estimation and diagnosis. The book also presents a number of application results on economic model predictive control from actual water distribution networks and smart grids. Moreover, the book introduces a fault-tolerant control strategy based on virtual actuators and sensors for such systems in the descriptor form.
650 0 $a Automatic control $x Mathematics. $3 274653
650 0 $a Observers (Control theory) $v Congresses. $3 443792
650 1 4 $a Control and Systems Theory. $3 825946
650 2 4 $a Complexity. $3 274400
650 2 4 $a Energy Systems. $3 512090
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Springer theses. $3 557607
856 4 0 $u https://doi.org/10.1007/978-3-030-52440-1
950 $a Engineering (SpringerNature-11647)