Bayesian estimation of oscillator parameters: toward anomaly detection and cyber-physical system security

HIGHLIGHTS

• who: Joseph M. Lukens and colleagues from the Quantum Information Science Section, Oak Ridge National Laboratory, Oak Ridge, TN, USA Department of Mathematics, University of Manchester, Manchester , PL, UK have published the research work: Bayesian Estimation of Oscillator Parameters: Toward Anomaly Detection and Cyber-Physical System Security, in the Journal: Sensors
• what: The authors propose a Bayesian analysis of the response of a simple exemplar CPS. The sample sets allowed estimates of any of the four parameters (ω, A, α, σ ); yet for the purposes of this test, the authors focused on frequency specifically.
• how: For . . .
  

   

  

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