Missile endgame analysis

Jyh Ching Juang, Ching Fang Lin, Johnny H. Evers, James R. Cloutier

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

2 Citations (Scopus)


In missile guidance analysis, the engagement performance is typically quantified using the root-mean-square (RMS) value. The underlying assumption of using the RMS value is that the engagement outcome is affected by design uncertainties that are modeled using random processes. However, many attributes that affect the engagement outcome cannot be appropriately modeled using random processes. Examples include, but are not limited to, parameter variations, flexible dynamics, target maneuver, estimation errors, and parasitic dynamics. In this paper, instead of looking for the average RMS performance, a new metric that considers the worst case performance is adopted. As a result, a more accurate performance prediction can be obtained. The analysis is also shown to generalize the existing covariance analysis approach. The analysis framework can be expanded for the integrated guidance and control (IGC) design.

Original languageEnglish
Title of host publicationProceedings of the 1st IEEE Conference on Control Applications, CCA 1992
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)0780300475, 9780780300477
Publication statusPublished - 1992
Event1st IEEE Conference on Control Applications, CCA 1992 - Dayton, United States
Duration: 1992 Sep 121992 Sep 16

Publication series

NameProceedings of the 1st IEEE Conference on Control Applications, CCA 1992


Conference1st IEEE Conference on Control Applications, CCA 1992
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Optimization
  • Computer Science (miscellaneous)
  • Control and Systems Engineering
  • Aerospace Engineering
  • Industrial and Manufacturing Engineering


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