System Identification for Robust Control Design.

Abstract

The long-range goal of this research program is to form a new system identification paradigm that fulfills all the requirements of robust control design, i.e., to produce from finite measured data a model which includes descriptors for both dynamic and disturbance uncertainty. Several directions were pursued during the reporting period: (1) least-squares related approaches (2) 'windsurfer' (learning) adaptation, and (3) uncertainty model unfalsification. The latter, together with some of the ideas in 'windsurfer' adaptation, marks a significant advance towards attaining the program objectives. The new idea is to replace identification of a single (transfer function) model with unfalsification of a family of uncertainty models and then to design a corresponding family of robust controllers to be tested on the actual system. (Both dynamic and noise uncertainty parameters are estimated along with the nominal transfer function).

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Document Details

Document Type
Technical Report
Publication Date
Feb 09, 1996
Accession Number
ADA307666

Entities

People

  • Robert L. Kosut

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Computational Science
  • Computer Science
  • Control Systems
  • Data Science
  • Identification
  • Information Processing
  • Information Science
  • Knowledge Management
  • Network Science
  • Open Loop Systems
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys
  • Systems Engineering
  • Transfer Functions

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Public Financial Management and Budgeting