國立虎尾科技大學 |

Advances in State Estimation, Diagnosis and Control of Complex Systems

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in State Estimation, Diagnosis and Control of Complex Systems/ by Ye Wang.
作者:	Wang, Ye.
面頁冊數:	XXVII, 237 p. 64 illus., 49 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Energy Systems. -
電子資源:	https://doi.org/10.1007/978-3-030-52440-1
ISBN:	9783030524401

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. - 1st ed. 2021. - XXVII, 237 p. 64 illus., 49 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5061. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

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

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

785876
Energy Systems.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

Advances in State Estimation, Diagnosis and Control of Complex Systems
LDR:02710nam a22004095i 4500 001 1049285
003 DE-He213
005 20211014204154.0
007 cr nn 008mamaa
008 220103s2021 sz | s |||| 0|eng d
020 $a 9783030524401 $9 978-3-030-52440-1
024 7 $a 10.1007/978-3-030-52440-1 $2 doi
035 $a 978-3-030-52440-1
050 4 $a TJ212-225
072 7 $a TJFM $2 bicssc
072 7 $a TEC004000 $2 bisacsh
072 7 $a TJFM $2 thema
082 0 4 $a 629.8 $2 23
100 1 $a Wang, Ye. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1185285
245 1 0 $a Advances in State Estimation, Diagnosis and Control of Complex Systems $h [electronic resource] / $c by Ye Wang.
250 $a 1st ed. 2021.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a XXVII, 237 p. 64 illus., 49 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5061
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 2 4 $a Energy Systems. $3 785876
650 2 4 $a Complexity. $3 669595
650 1 4 $a Control and Systems Theory. $3 1211358
650 0 $a Energy systems. $3 1253529
650 0 $a Computational complexity. $3 527777
650 0 $a Control engineering. $3 1249728
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030524395
776 0 8 $i Printed edition: $z 9783030524418
776 0 8 $i Printed edition: $z 9783030524425
830 0 $a Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5053 $3 1253569
856 4 0 $u https://doi.org/10.1007/978-3-030-52440-1
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)