Advertisement

Advances in State Estimation, Diagnosis and Control of Complex Systems

  • Ye Wang
Book
  • 25 Downloads

Part of the Springer Theses book series (Springer Theses)

Table of contents

About this book

Introduction

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. 

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

Authors and affiliations

  • Ye Wang
    • 1
  1. 1.Department of Automatic Control, Institut de Robòtica i Informàtica Industrial, CSIC-UPCUniversitat Politècnica de CatalunyaBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-52440-1
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-030-52439-5
  • Online ISBN 978-3-030-52440-1
  • Series Print ISSN 2190-5053
  • Series Online ISSN 2190-5061
  • Buy this book on publisher's site