Reduction of relative degree by optimal control and sensor placement

Dániel Leitold, Ágnes Vathy-Fogarassy, János Abonyi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

However, the resulting proportions of driver and sensor nodes are particularly small when compared to the size of the system, and although structural controllability and observability is ensured, the system demands additional drivers and sensors to provide the small relative degree needed for fast and robust process monitoring and control. In this chapter, a centrality measures-based, two set covering-based and two clustering and simulated annealing-based methods are proposed to assign additional drivers and sensors to the dynamical systems.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
PublisherSpringer
Pages27-48
Number of pages22
DOIs
Publication statusPublished - Jan 1 2020

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

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Keywords

  • Fuzzy clustering
  • Network science
  • Network segmentation
  • Relative degree
  • Sensor placement
  • Simulated annealing
  • Structural observability

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Leitold, D., Vathy-Fogarassy, Á., & Abonyi, J. (2020). Reduction of relative degree by optimal control and sensor placement. In SpringerBriefs in Computer Science (pp. 27-48). (SpringerBriefs in Computer Science). Springer. https://doi.org/10.1007/978-3-030-36472-4_3