9783030524425-3030524426-Advances in State Estimation, Diagnosis and Control of Complex Systems (Springer Theses)

Advances in State Estimation, Diagnosis and Control of Complex Systems (Springer Theses)

ISBN-13: 9783030524425
ISBN-10: 3030524426
Edition: 1st ed. 2021
Author:
Publication date: 2021
Publisher: Springer
Format: Paperback 268 pages
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Book details

ISBN-13: 9783030524425
ISBN-10: 3030524426
Edition: 1st ed. 2021
Author:
Publication date: 2021
Publisher: Springer
Format: Paperback 268 pages

Summary

Advances in State Estimation, Diagnosis and Control of Complex Systems (Springer Theses) (ISBN-13: 9783030524425 and ISBN-10: 3030524426), written by authors , was published by Springer in 2021. With an overall rating of 4.1 stars, it's a notable title among other Energy (Physics, Technology, Engineering) books. You can easily purchase or rent Advances in State Estimation, Diagnosis and Control of Complex Systems (Springer Theses) (Paperback) from BooksRun, along with many other new and used Energy books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

Product Description 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. From the Back Cover 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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