Analytical and Computational Methods for Nonlinear Feedback Design.

Abstract

The lack of a systematic methodology for the design of feedback laws capable of controlling complex dynamical systems has been a limiting factor in several current and emerging DoD missions. The research carried out by the principal investigators in this three year research effort has focused on analyzing and computing the steady-state behavior of controlled complex dynamical systems. One of the fundamental discoveries made during this research effort concerns the steady-state behavior of a dynamical system which provides estimates of the current state. The analysis led to an unanticipated geometric discovery which led to the solution of an outstanding problem in linear systems theory with applications in speech synthesis, voice recognition and signal processing. These advances were supported by computational methods developed in this research effort and which are documented in this final report and in a patent application. Another fundamental discovery made during this research effort was focused on controller design for a class of distributed parameter systems. Our results quantify properties of attractors and the steady-state behavior of solutions. The principal investigating team also discovered results concerning the asymptotic behavior of linear distributed parameter systems undergoing harmonic, or periodic, forcing.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1997
Accession Number
ADA341528

Entities

People

  • Alberto Isidori
  • Christopher I. Byrnes

Organizations

  • University of Washington

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Control Systems
  • Differential Equations
  • Electrical Engineering
  • Equations
  • Feedback
  • Fluid Dynamics
  • Formulas (Mathematics)
  • Geometry
  • Linear Systems
  • Mathematical Filters
  • Mathematics
  • Nonlinear Systems
  • Signal Processing

Readers

  • Control Systems Engineering.
  • Systems Analysis and Design
  • Technical Research and Report Writing.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms