CONTROL SYSTEMS.

Abstract

Publications in the current year cover a broad front in control systems theory: optimal control, stochastic game theory, learning and adaptive algorithm, and estimation and control in the presence of triangular noise. Perhaps worthy of special mentioning here is the concept of Fuzzy Dynamic Programming. It is an extension of the dynamic programming idea to take into account the following factors: incompletely known process, the varying degree of risk, and the many valued or vector return function. When fuzzy dynamic programming is applied to control systems with incompletely known or changing dynamics, it is considerably simpler than minimizing the sensitivity function, and yields a globaly good closed-loop control. It also furnishes a link between dynamic programming and Lyapunov stability theory. Current work in progress on fuzzy dynamic programming is aimed at developing computer algorithm for obtaining the guaranteed cost function (or guaranteed cost matrix for linear systems), and also to apply it to learning and adaptive systems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1969
Accession Number
AD0698854

Entities

People

  • Sheldon S. L. Chang

Organizations

  • State University of New York

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Algorithms
  • Computer Programming
  • Computers
  • Control Systems
  • Dynamic Programming
  • Dynamics
  • Game Theory
  • Heuristic Methods
  • Learning
  • Linear Systems
  • Mathematics
  • Sensitivity

Readers

  • Approximation Theory.
  • Artificial Intelligence
  • Robotics and Automation.