A quick intelligent control learning algorithm based on single adaptive neuron controller

Author

Wei, Li ; Shiyong, Li ; Li, Lang ; Shuqing, Ma ; Yi, Shen

Author_Institution

Dept. of Control Eng., Harbin Inst. of Technol., China

Volume

1

fYear

1997

fDate

28-31 Oct 1997

Firstpage

410

Abstract

In this paper, a quick intelligent control learning algorithm (QICLA) based on a single adaptive neuron controller is investigated. The trajectory of the controlled system in phase space is studied, and different learning methods are applied to the learning process of the single adaptive neuron according to the different situations of the controlled system. The advantage of the algorithm presented has been shown by simulations of a satellite attitude stability control system

Keywords

adaptive control; artificial satellites; attitude control; control system analysis; intelligent control; learning systems; neurocontrollers; stability; QICLA; adaptive neuron controller; controlled system trajectory; learning methods; phase space; quick intelligent control learning algorithm; satellite attitude stability control system; simulations; Adaptive control; Attitude control; Control system synthesis; Control systems; Intelligent control; Learning systems; Neurons; Programmable control; Satellites; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.672812

Filename

672812