Metric optimization-based design of systems subject to hostile disruptions

Aaron M. Cramer, Scott D. Sudhoff, Edwin L. Zivi

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

In many applications, engineering systems are required to operate acceptably well in hostile environments. In the past, survivability engineering has addressed this requirement using heuristic rule-based design approaches followed by analysis to determine if survivability constraints have been satisfied. The treatment of survivability as a constraint rather than an independent design objective hinders the ability of system engineers to trade off survivability with other design objectives, such as cost and performance. Herein, the survivability problem is posed in terms of maximizing expected performance and minimizing the risk of unacceptable performance. Design metrics that allow optimal selection of systems on the basis of these survivability dimensions are presented. The metrics are part of a systematic approach to system engineering in which survivability concerns are quantified and individual systems and entire classes of systems can be compared objectively. These metrics are a necessary step toward an integrated design process wherein tradeoffs between all design objectives can be identified. This methodology is demonstrated on the design of a notional electric warship integrated engineering plant (IEP) that is subject to hostile disruptions posed by antiship missiles. By use of this method, the performance of the IEP is shown to be improved.

Original languageEnglish
Article number5682413
Pages (from-to)989-1000
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans
Volume41
Issue number5
DOIs
StatePublished - Sep 2011

Bibliographical note

Funding Information:
Manuscript received July 22, 2009; revised April 8, 2010; accepted September 4, 2010. Date of publication January 10, 2011; date of current version August 23, 2011. This work was supported by the Office of Naval Research under Contracts N00014-08-1-0080 and N00014-06-1-0314. This paper was recommended by Associate Editor K. W. Hipel. A. M. Cramer is with the University of Kentucky, Lexington, KY 40506 USA (e-mail: [email protected]). S. D. Sudhoff is with Purdue University, West Lafayette, IN 47907 USA (e-mail: [email protected]). E. L. Zivi is with the United States Naval Academy, Annapolis, MD 21402 USA (e-mail: [email protected]). Color versions of one or more of the figures in this paper are available online at http://ieeexplore.ieee.org. Digital Object Identifier 10.1109/TSMCA.2010.2093887

Keywords

  • Evolutionary algorithms
  • performance metrics
  • simulation
  • survivability
  • system engineering

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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