Email RIS file
Bookmark
Report an Issue

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

Author
Wang, Ye
Published
Cham : Springer International Publishing : Imprint: Springer, 2021.
Edition
1st ed. 2021.
Physical Description
XXVII, 237 pages 64 illustrations, 49 illustrations in color : online resource
Additional Creators
SpringerLink (Online service)
Access Online

Availability

I Want It
I Want It

Finding items...

Series
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.
Summary
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. .
Subject(s)
ISBN
9783030524401
Digital File Characteristics
PDF
text file
Part Of
Springer Nature eBook
View MARC record | catkey: 31198355