Doctoral Research in Nonlinear Control Systems.

Abstract

The design of feedback laws for systems characterized by complicated nonlinear dynamical behavior is a challenging research task which has attracted increasing interest in recent years. In the last ten years, the development of specific methodologies for the design of feedback laws in order to control systems described by nonlinear mathematical models has experienced major developments. Towards the end of the decade a renewed interest took place in the longstanding problem of asymptotic stabilization, leading to the development of systematic methods for the design of (locally or globally) stabilizing as well as adaptively stabilizing feedback laws for selected classes and/or interconnected structures of systems. In the meanwhile, methods of the solution of an outstanding problem of major engineering interest, the asymptotic tracking of prescribed reference signals as well as the attenuation (below a specified threshold) of exogenous disturbances, gradually became available. There are currently two approaches to the problem of tracking/attenuation of exogenous inputs in a nonlinear system; one is the nonlinear extension of the classical servomechanism problem of linear system theory, in which the task of the regulator is to achieve asymptotic decay of a tracking error (the difference between the desired behavior and the actual behavior of the controlled variables). The other one is the nonlinear equivalent of the so-called H infinity-optimal control problem of linear system theory, in which the task of the regulator is to minimize the maximal amplitude of the frequency response of the system.

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Document Details

Document Type
Technical Report
Publication Date
Apr 29, 1996
Accession Number
ADA310442

Entities

People

  • C. I. Byrnes

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Closed Loop Systems
  • Control Systems
  • Differential Equations
  • Engineering
  • Equations
  • Feedback
  • Frequency Response
  • Interdisciplinary Science
  • Law
  • Linear Systems
  • Mathematical Models
  • Mathematics
  • Nonlinear Systems
  • Partial Differential Equations
  • Regulators
  • Systems Science

Readers

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