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Advances in state estimation, diagno...

Wang, Ye.

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Advances in state estimation, diagnosis and control of complex systems

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in state estimation, diagnosis and control of complex systems/ by Ye Wang.
Author:	Wang, Ye.
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xxvii, 237 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Automatic control - Mathematics. -
Online resource:	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. - 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

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

898965
Automatic control
--Mathematics.

LC Class. No.: TJ213 / .W35 2021

Dewey Class. No.: 629.80151

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