Title :
On learning properties of neuro-fuzzy phase-lead compensators
Author :
Tanaka, Kazuo ; Sano, Manabu
Author_Institution :
Dept. of Mech. Syst. Eng., Kanazawa Univ., Japan
Abstract :
This paper discusses the learning properties of a neuro-fuzzy phase-lead compensator which is a self-learning fuzzy controller by a neural network. The compensator is constructed by introducing frequency characteristics such as gain crossover frequency and phase margin. We apply the neuro-fuzzy phase-lead compensator to an unknown nonlinear plant and consider its learning properties
Keywords :
compensation; fuzzy control; learning (artificial intelligence); neural nets; nonlinear control systems; self-adjusting systems; frequency characteristics; gain crossover frequency; neural network; neuro-fuzzy phase-lead compensators; phase margin; self-learning fuzzy controller; Control systems; Frequency; Fuzzy control; Fuzzy neural networks; Fuzzy sets; Learning systems; Mechanical systems; Neural networks; Open loop systems; Transfer functions;
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON '93., International Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-7803-0891-3
DOI :
10.1109/IECON.1993.339041
