ADAPTIVE CONTROL VIA QUASILINEARIZATION AND DIFFERENTIAL APPROXIMATION

Abstract

An adaptive controller is one which has the capability to learn from experience and in so doing improves the quality of the control it exerts over a plant. Such a controller adapts itself to circumstances as it finds them. The potential military and commercial applications of such devices are impressive. The aim of this Memorandum is to show that the basic system identification and state determination problems can be viewed, mathematically, as nonlinear multipoint boundary value problems. They can be resolved, computationally, via use of quasilinearization and differential approximation. The net result is that we now possess straightforward and effective procedures for designing wide classes of adaptive controllers.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1963
Accession Number
AD0422713

Entities

People

  • R. Sridhar
  • Richard E. Bellman
  • Robert E. Kalaba

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Adaptive Systems
  • Air Force
  • Boundaries
  • Boundary Value Problems
  • Closed Loop Systems
  • Computational Science
  • Control Systems
  • Control Systems Engineering
  • Control Theory
  • Differential Equations
  • Engineering
  • Equations
  • Euler Equations
  • Government Procurement
  • Simultaneous Equations
  • United States

Readers

  • Control Systems Engineering.
  • Operations Research
  • Systems Analysis and Design