Detection of Abrupt Changes in Dynamic Systems,

Abstract

This paper presents some of the basic ideas associated with the detection of abrupt changes in dynamic systems. The author's presentation focuses on two classes of methods -- multiple filter-based techniques and residual-based methods -- and in far more detail on the multiple model and generalized likelihood ratio methods. Issues such as the effect of unknown onset time on algorithm complexity and structure and robustness to model uncertainty are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1984
Accession Number
ADA137434

Entities

People

  • A. S. Willsky

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Change Detection
  • Computer Science
  • Covariance
  • Damage Detection
  • Data Science
  • Detection
  • Detectors
  • Errors
  • Failure Mode And Effect Analysis
  • Filters
  • Filtration
  • Kalman Filtering
  • Kalman Filters
  • Probability
  • Statistics

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.
  • Systems Analysis and Design