Accession Number : AD0698854

Title :   CONTROL SYSTEMS.

Descriptive Note : Interim scientific rept. 2 Oct 68-1 Oct 69,

Corporate Author : STATE UNIV OF NEW YORK STONY BROOK DEPT OF ELECTRICAL SCIENCES

Personal Author(s) : Chang,Sheldon S. L.

Report Date : OCT 1969

Pagination or Media Count : 16

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)

Descriptors :   (*CONTROL SYSTEMS, DYNAMIC PROGRAMMING), OPTIMIZATION, ADAPTIVE CONTROL SYSTEMS, GAME THEORY, NOISE(RADIO), ALGORITHMS

Subject Categories : Theoretical Mathematics
      Test Facilities, Equipment and Methods

Distribution Statement : APPROVED FOR PUBLIC RELEASE