Quantitative Synthesis of Multiple Loop Feedback Systems with Large Plant Uncertainty.

Abstract

This work extends single input-output linear time invariant minimum-phase quantitative feedback synthesis to two new complex plant structures with internal sensing points. One is the triangular structure. The second consists of parallel branches, each with cascaded sections. Due to uncertainty, the plant parameters are elements of given sets. The system response must satisfy specified time or frequency domain tolerances. The basic problem is how to divide the feedback burden among the available loops so as to minimize the net rms effect at the plant input, of the various sensor noise sources. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA072644

Entities

People

  • Isaac Horowitz
  • Te-shing Wang

Organizations

  • University of Colorado Boulder

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Adaptive Systems
  • Cascade Structures
  • Closed Loop Systems
  • Computer Programs
  • Computers
  • Control Systems
  • Engineering
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Peak Values
  • Plant Structures
  • Rational Functions
  • Simulations
  • Three Dimensional
  • Time Domain
  • Transfer Functions

Readers

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