Sensitivity Analysis in Large Scale Multi-Objective Systems.

Abstract

No matter what method is employed in the programming of a transducer array, in practice the performance predicted by the model will not be achieved due to error in construction and operation of the array. Furthermore, the degree to which a given amount of error degrades an array design (i.e., design sensitivity) will differ greatly from one design to the next. A measure of sensitivity is proposed, based on the maximum impact which a given amount of error can produce on a particular design. The adoption of this measure allows the sensitivity problem to be solved through the use of mathematical programming techniques. The best of these techniques for the general array design case is shown to be Nonlinear Goal Programming. The sensitivity values for five planar symmetric array designs are determined and compared.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 17, 1978
Accession Number
ADA066098

Entities

People

  • John H. Perlis

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Contracts
  • Coordinate Systems
  • Geometry
  • Goal Programming
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Measurement
  • Navy
  • Optimization
  • Quadrants
  • Security
  • Simulations
  • Systems Engineering
  • Transducers

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Phased Array Antenna Design.
  • Software Engineering.