Title :
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
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;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672812
