ON OPTIMIZATION OF NONLINEAR DYNAMIC PROCESSES WITH UNKNOWN PARAMETERS.

Abstract

An important theoretical and practical problem which arises in dealing with self-optimizing or adaptive systems is to prove that a particular optimalizing process converges for every state of the plant. In this paper a class of nonlinear, inertial and random plants which satisfy certain optimizability conditions is considered. Two different convergent iteration processes are constructed and compared. The notation of functional analysis is used for reasons of simplicity and conciseness. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 10, 1962
Accession Number
AD0681837

Entities

People

  • R. Kulikowski

Organizations

  • Columbia University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Systems
  • Functional Analysis
  • Iterations
  • Mathematical Analysis
  • Notation
  • Optimization

Readers

  • Computational Modeling and Simulation
  • Operations Research
  • Robotics and Automation.