Skip to main navigation Skip to search Skip to main content

Reliability-based optimization robust design of control system

  • College of Communication Engineering

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The theory of reliability sensitivity analysis and reliability-based optimization robust design are extended to discuss the reliability design of control system. Firstly, we present a way to measure the relative importance (sensitivity analysis) of each element of system. And then, after establishing the mathematic model for reliability optimization, a procedure for robust design of system is studied Finally, a numeric example is pretended to illustrate the procedure of sensitivity analysis and robust design. After optimization, the mean life of system has increased than before, and the cost has been greatly reduced; on the other hand, the sensitivity of system reliability to the mean life of components also has decreased. The result shows that the proposed methodology is useful for system design and quality improvement.

Original languageEnglish
Title of host publicationChinese Control and Decision Conference, 2008, CCDC 2008
Pages3816-3820
Number of pages5
DOIs
StatePublished - 2008
Externally publishedYes
EventChinese Control and Decision Conference 2008, CCDC 2008 - Yantai, Shandong, China
Duration: 2 Jul 20084 Jul 2008

Publication series

NameChinese Control and Decision Conference, 2008, CCDC 2008

Conference

ConferenceChinese Control and Decision Conference 2008, CCDC 2008
Country/TerritoryChina
CityYantai, Shandong
Period2/07/084/07/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Control system
  • Reliability-based optimization robust design
  • Sensitivity analysis
  • The average life expectancy

Fingerprint

Dive into the research topics of 'Reliability-based optimization robust design of control system'. Together they form a unique fingerprint.

Cite this