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Advances in State Estimation, Diagnosis and Control of Complex Systems


Advances in State Estimation, Diagnosis and Control of Complex Systems


Springer Theses

von: Ye Wang

160,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 30.07.2020
ISBN/EAN: 9783030524401
Sprache: englisch

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Beschreibungen

<p></p><p>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.&nbsp;</p><p></p>
Introduction.-&nbsp;Set-based State Estimation Approaches for Descriptor Systems.-&nbsp;Distributed Set-membership Approach based on Zonotopes.-&nbsp;Set-based Fault Detection and Isolation for Descriptor Systems.-&nbsp;Set-based Fault Estimation for Descriptor Systems.
<p></p><p>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.&nbsp;</p><p></p>
<p>Nominated as an outstanding Ph.D. thesis by the Control Engineering group of the Comité Español de Automática (CEA) </p><p>Offers a set-based framework for descriptor systems applied to estimation and diagnosis </p><p>Demonstrates the performance of real-time optimal control methods in terms of improving the operation of water distribution networks </p><p> </p><p>Discusses a fault-tolerant strategy applied to the operational management of critical infrastructures</p><br>

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