Adjustment of Design Parameters for Improved Feedback Properties in the Linear Quadratic Regulator.

Abstract

Classical analysis and design methods for single input-single output (SISO) systems, such as gain and phase margins, do not generalize easily to MIMO systems. Recently, the singular values of the return difference and inverse Nyquist matrices have proven useful in analyzing multiple input-multiple output (MIMO) systems. The linear quadratic formulation is useful for the design of MIMO controllers. A disadvantage of this design method is that all the design specifications must be incorporated into a quadratic cost functional. This thesis contains a systematic method for adjusting the quadratic cost to manipulate the singular value functionals and the feedback properties and thus achieve the design requirements. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1982
Accession Number
ADA124494

Entities

People

  • Robert Stanley Mcewen

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Closed Loop Systems
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Equations
  • Feedback
  • Frequency
  • Frequency Domain
  • Hilbert Space
  • Illinois
  • Mathematical Models
  • Multiple Input Multiple Output
  • Open Loop Systems
  • Regulators
  • Standards
  • United States
  • Vector Spaces

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.