Performability design of dynamic systems

Turuna Seecharan, Gordon Savage

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


The design of dynamic systems in terms of dependability and sustainability is a computationally intensive task - especially since probabilities are required. This paper presents a methodology that greatly reduces the design time with a controlled loss of accuracy. The proposed approach combines design of computer experiments, a judicious application of linear metamodels and an explicit evaluation of probabilities. This approach is much faster than traditional Monte Carlo simulation. A further reduction in time can be accomplished through the application of singlevalue- decomposition. The application of the methodology for two popular forms of metamodels (i.e. response surface methods via Least-squares fit and Kriging) is presented. Parameter design is provided by combining robust design principles with constrained optimization. A detailed case study of a system with multiple performance measures and multiple design variables shows the efficacy and practicality of the methodology.

Original languageEnglish (US)
Title of host publicationProceedings - 15th ISSAT International Conference on Reliability and Quality in Design
Number of pages5
StatePublished - Dec 1 2009
Event15th ISSAT International Conference on Reliability and Quality in Design - San Francisco, CA, United States
Duration: Aug 6 2009Aug 8 2009


Other15th ISSAT International Conference on Reliability and Quality in Design
Country/TerritoryUnited States
CitySan Francisco, CA


  • Dynamic Systems
  • FORM
  • Limit-state functions
  • Metamodels
  • Robust design
  • Singular value decomposition


Dive into the research topics of 'Performability design of dynamic systems'. Together they form a unique fingerprint.

Cite this