Research on Optimization-Based Computer-Aided Design of Control Systems

Abstract

The complexity of engineering systems has increased to the extent that the interactive use of computers in their design has become more or less indispensable. Current methods of heuristic design parameter adjustment, via interactive computing, are relatively ineffective. The research covered by this report was aimed at developing a powerful, general purpose, optimization-based computer-aided engineering system design methodology. The generality of our approach is made possible by the fact that a large variety of engineering design problems are transcribable into the form of a very small number of standard, semi-infinite optimization problems, and because new system theoretic results facilitate the use of optimization in engineering design. The reported research can be divided into three parts: the first was concerned with the development of semi-infinite optimization algorithms for engineering design, the second one was devoted to the development of system theoretic results which facilitate the use of optimization in control system design, and the third one was devoted to the development of an interactive software system which provides an appropriate environment for optimization-based computer-aided design.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 1988
Accession Number
ADA200400

Entities

People

  • Elijah Polak

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Classification
  • Closed Loop Systems
  • Computational Complexity
  • Computer Programming
  • Computers
  • Control Systems
  • Differential Equations
  • Engineering
  • Feedback
  • Frequency Domain
  • Linear Programming
  • Military Research
  • Optimization
  • Partial Differential Equations
  • Security

Fields of Study

  • Computer science
  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Software Engineering
  • Systems Analysis and Design