Optimization of communications traffic systems using learning control

Author

Uose, Hisao

Author_Institution

NTT Telecommun. Networks Lab., Tokyo, Japan

fYear

1990

fDate

5-7 Dec 1990

Firstpage

1375

Abstract

A learning control method applicable to optimization control of communications traffic systems is proposed. The method consists of a system identification algorithm using the method of potential functions and an extremum search algorithm that selects the appropriate control input at each control step. The method makes it possible to achieve maximization by setting the initial approximation of the system to be greater than that of the real system and by selecting the control input to be the temporal maximum at each control step. An application example of a throughput maximization problem at a switching node in a circuit-switched communications network is shown

Keywords

circuit switching; identification; learning systems; optimisation; search problems; telecommunication systems; telecommunication traffic; telecommunications control; circuit-switched communications network; communications traffic systems; extremum search algorithm; learning control; optimization; potential functions; system identification; throughput maximization; Communication system control; Communication system traffic control; Control systems; Laboratories; Noise measurement; Nonlinear control systems; Optimization methods; Telecommunication control; Throughput; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1990., Proceedings of the 29th IEEE Conference on

Conference_Location

Honolulu, HI

Type

conf

DOI

10.1109/CDC.1990.203832

Filename

203832