Title :
The state space model and stability analysis of a neuron control system
Author :
Jie, Chen ; Ning, Wang
Author_Institution :
Zhongxing Telecom. Ltd., Shenzhen, China
Abstract :
A state space model of a neuron control system is proposed and the stability analysis of the system is presented. For typical industrial plants, the relationship between controller parameters and system stability is studied. The method and results are helpful for understanding the mechanism of the neuron controller and its design for industrial applications
Keywords :
control system analysis; industrial control; neurocontrollers; stability; state-space methods; controller parameters; industrial plants; neuron control system; stability analysis; state space model; Control system synthesis; Industrial control; Laboratories; Neurons; Nonlinear control systems; Process control; Space technology; Stability analysis; State-space methods; Telecommunication control;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.863354