Controls Systems Techniques Applicable for Use in Synthesis of Flight Control Systems,

Abstract

The focal point of the effort is on the control of systems with an incompletely known process. 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. Another aspect of the work 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. Another area investigated is the inverse problem of guaranteed cost control: 'When is a controller for a system with unknown parameters a guaranteed cost controller.' Necessary and sufficient condition for a controller being a guaranteed cost controller is obtained for a certain class of linear systems. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1970
Accession Number
AD0722458

Entities

People

  • Ching-huang Hsu
  • Hsiao Chang Chou
  • S. S. L. Chang
  • Shiba Panda
  • Theodore K. Peng

Organizations

  • State University of New York

Tags

DTIC Thesaurus Topics

  • Adaptive Systems
  • Algorithms
  • Computer Programming
  • Computers
  • Control Systems
  • Dynamic Programming
  • Dynamics
  • Flight Control Systems
  • Heuristic Methods
  • Inverse Problems
  • Learning
  • Linear Systems
  • Mathematics
  • Sensitivity

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Control Systems Engineering.
  • Operations Research