Robustness in Feedback Systems.

Abstract

The research in this thesis is motivated by the basic question 'What can and cannot be accomplished by feedback control?' In particular, three basic issues are addressed: a) Determining which types of controllers are optimal for certain classes of control problems; b) Investigating the absolute limitations of feedback control for multiobjectives; and c) Developing efficient methods for synthesizing robustly stabilizing controllers for families of plants featuring block-structed uncertainty. With regard to these issues the principal contributions are: as follows. First, it is shown that for the problem of robustly stabilizing a family of plants featuring dynamic uncertainty, linear time-invariant controllers perform as well as arbitrary nonlinear time-varying controllers. Second, a new controller synthesis procedure called residue iteration is developed for synthesizing robustly stabilizing controllers for families of plants featuring block-structured uncertainty. This method is simpler and numerically more attractive than any previously existing technique. Finally, an algorithm is presented which enables one to compute an absolute upper bound on the performance levels attainable in multiobjective H at infinity-optimization problems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1987
Accession Number
ADA182830

Entities

People

  • Thomas L. Ting

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Closed Loop Systems
  • Computational Science
  • Computations
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Corporations
  • Electrical Engineering
  • Engineering
  • Equations
  • Feedback
  • Frequency Domain
  • Optimization
  • Real Numbers
  • Systems Engineering
  • Transfer Functions

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.