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Distributed Set-Membership Approach Based on Zonotopes

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Part of the Springer Theses book series (Springer Theses)

Abstract

As society develops, an increasing number of large-scale systems, such as cyber-physical systems  [1] and critical infrastructures (i.e. water distribution networks  [2, 3] and smart grids  [4]), are becoming more automatized. Such kind of systems have a large amount of states, inputs and outputs. Considering their complexity and dimension, these large- scale systems can be formulated as interconnected systems with coupled states. In the frameworks of diagnosis and optimal control of large-scale systems, a suitable distributed state estimation approach plays a significant role in the development of model-based fault diagnosis strategies  [5] and the design of controllers  [6, 7]. Revising the literature, different approaches have been investigated for distributed state estimation problems, as e.g. the distributed moving horizon approaches in [8, 9].

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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

Authors and Affiliations

  1. 1.Department of Automatic Control, Institut de Robòtica i Informàtica Industrial, CSIC-UPCUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.College of AutomationHarbin Engineering UniversityHarbinP. R. China
  3. 3.Department of Electrical and Electronic EngineeringThe University of MelbourneMelbourneAustralia

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