Approximate Evaluation of Reliability and Related Quantities via Perturbation Techniques

Abstract

The evaluation of the reliability, stability, and performance of fault tolerant control systems (FTCS) is considered. New sufficient conditions for stochastic stability of FTCS with standard Markovian component failure behavior and Markovian failure detection decision behavior are derived. By specializing these results to the class of linear time-invariant (LTI) FTCS with linear state feedback control laws that are reconfigured by switching the feedback gain matrix according to the identified failure configuration, the stability results are strengthened to necessary and sufficient conditions for stochastic stability of a special type (exponential in mean square) that implies a very strong sense of stability (a.s. in probability). An approximate feedback control design technique for LTI FTCS is then proposed and demonstrated on a simple numerical case. In addition, previous results on semi-Markov analysis of FTCS reliability are used to derive a numerical method for establishing approximately optimal failure detection test thresholds for sequential failure detection tests. This method, though approximate, is shown to yield thresholds that provide a considerable increase in system reliability relative to those provided by a method based on a rigorously derived reliability approximation for one numerical example.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1990
Accession Number
ADA240049

Entities

People

  • Bruce K. Walker
  • Ramaswamy Srichander

Organizations

  • University of Cincinnati

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Traffic Control Systems
  • Artificial Intelligence
  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Damage Detection
  • Detection
  • Differential Equations
  • Failure Mode And Effect Analysis
  • Feedback
  • Flight Control Systems
  • Lyapunov Functions
  • Markov Processes
  • Probability
  • Reliability
  • Stochastic Processes

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Mathematical Modeling and Probability Theory.