A GRADIENT METHOD OF SOLVING ONE CLASS OF OPTIMAL CONTROL PROBLEMS,

Abstract

The article deals with the problem of minimizing the mean-square value of a part of the components of the final state of an object whose motion is described by a linear system of ordinary differential equations with initial conditions. The problem is solved under the condition that the remaining components of the final state of the object go through a specified point manifold. By making use several premises of functional analysis, and extending a method first described by R. Gabasov and F. M. Kirillova, the problem is reduced to that of determining the maximum of a certain convex function of a finite number of variables, which play the role of the initial values of the vector of a conjugate system. The search is carried out by a gradient method which is analogous in a certain sense with the method of steepest ascent. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 25, 1969
Accession Number
AD0696227

Entities

People

  • O. V. Vasilev

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Differential Equations
  • Equations
  • Functional Analysis
  • Linear Systems
  • Mathematics

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Calculus or Mathematical Analysis
  • Operations Research