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Advances in State Estimation, Diagnosis and Control of Complex Systems

Authors:

  • 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)

  1. Front Matter

    Pages i-xxvii
  2. Introduction

    • Ye Wang
    Pages 1-21
  3. State Estimation

    1. Front Matter

      Pages 23-23
  4. Back Matter

    Pages 237-237

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

  • Department of Automatic Control, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Universitat Politècnica de Catalunya, Barcelona, Spain

    Ye Wang

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

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access