Adaptive and Nonlinear Control

Abstract

This final report surveys the research accomplishments of a three year effort on the adaptive stabilization and control of distributed parameter systems and on the development of a systematic feedback design methodology for nonlinear control systems. In both areas, significant advances have been made by the use of concepts and techniques from dynamical systems theory, developing enhancements of classical frequency domain ideas (e.g. transmission zeroes, root locus methods, etc.) for both classes of systems. Indeed, for DPS the rigorous development of a root locus theory for parabolic systems is one of our most significant achievements. For nonlinear control design, we have enjoyed three unanticipated breakthroughs. First, the development of a nonlinear enhancement of transmission zeroes enabled the solution of a major open problem in nonlinear control - the nonlinear regulator problem - for systems operating near an equilibrium. Second, the geometric techniques underlying the solution of the regulator problem have been successfully applied to obtain 'off-line' feedback laws which solve nonlinear optimal control problems via a nonlinear analogue of the Riccati equation. Third, these advances, combined with the work described in this report, have led successfully to the development of a nonlinear robust control theory analogous to the development of H robust control for linear systems. Nonlinear Control, Stabilization of Distributed Parameter Systems, Dynamical Systems.

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Document Details

Document Type
Technical Report
Publication Date
Feb 29, 1992
Accession Number
ADA248580

Entities

People

  • Christopher I. Byrnes

Organizations

  • Air Force Office of Scientific Research

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Algorithms
  • Applied Mathematics
  • Closed Loop Systems
  • Computational Fluid Dynamics
  • Computational Science
  • Computations
  • Control Systems
  • Differential Equations
  • Electrical Engineering
  • Equations
  • Fluid Dynamics
  • Linear Systems
  • Mathematical Filters
  • Nonlinear Systems
  • Partial Differential Equations
  • Systems Engineering

Fields of Study

  • Mathematics

Readers

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