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Advances in State Estimation, Diagnosis and Control of Complex Systems [electronic resource] / by Ye Wang.

By: Wang, Ye [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Springer Theses, Recognizing Outstanding Ph.D. Research: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXVII, 237 p. 64 illus., 49 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030524401.Subject(s): Control engineering | Dynamics | Nonlinear theories | Electric power production | Control and Systems Theory | Applied Dynamical Systems | Mechanical Power EngineeringAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 629.8312 | 003 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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. .

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