Overview
- Nominated as an outstanding Ph.D. thesis by the Control Engineering group of the Comité Español de Automática (CEA)
- Offers a set-based framework for descriptor systems applied to estimation and diagnosis
- Demonstrates the performance of real-time optimal control methods in terms of improving the operation of water distribution networks
- Discusses a fault-tolerant strategy applied to the operational management of critical infrastructures
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (10 chapters)
-
State Estimation
-
Control
Keywords
- Distributed Set-Membership Approach
- Zonotopic Kalman Filter
- Unknown Input Observers
- Economic Model Predictive Control
- Robust Model Predictive Control
- Fault-Tolerant Control of Descriptor Systems
- Set-Based Fault Detection
- Set-Based Fault Estimation
- Delayed Control
- Virtual Actuator
- Virtual Sensor
- State Bounding Zonotope
- Discrete-Time Descriptor System
- Distributed State-Feedback Controller
- Optimal Control of Water Distribution Networks
- Robust Control of Smart Micro Grids
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Advances in State Estimation, Diagnosis and Control of Complex Systems
Authors: Ye Wang
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-030-52440-1
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-52439-5Published: 31 July 2020
Softcover ISBN: 978-3-030-52442-5Published: 01 August 2021
eBook ISBN: 978-3-030-52440-1Published: 30 July 2020
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXVII, 237
Number of Illustrations: 15 b/w illustrations, 49 illustrations in colour
Topics: Control and Systems Theory, Complexity, Energy Systems