Approximate Evaluation of Reliability and Related Quantities via Perturbation Techniques

Abstract

Reliability evaluation of fault tolerant control systems (FTCS) that include sequential tests for failure detection and identification involve the transient analysis of finite-state semi-Markov chains of very large dimension. Such models for the time horizons of interest are intractable even for simple architectures. This has motivated the work summarized in this report as well as the work that was accomplished under a previous AFOSR grant. The basis for the work is the idea of asymptotic aggregation of semi-Markov chains that include slow and fast transitions. The extension of earlier asymptotic aggregation results (primarily due to Korolyuk) to models that include decomposed classes that are non-ergodic and the subsequent application of these results to FTCS models was the subject of studies conducted under the previous grant. The research efforts reported here concentrate on the application of the results from the previous study to more general FTCS architectures.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1989
Accession Number
ADA218340

Entities

People

  • Bruce K. Walker
  • Ramaswamy Srichander

Organizations

  • University of Cincinnati

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Availability
  • Control Systems
  • Damage Detection
  • Detection
  • Electrical Engineering
  • Engineering
  • False Alarms
  • Markov Chains
  • Markov Models
  • Markov Processes
  • Models
  • Perturbations
  • Probability
  • Probability Distributions
  • Reliability
  • Test And Evaluation

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Parallel and Distributed Computing.
  • Technical Research and Report Writing.