Title :
Neuro-fuzzy controller and convention controller: a comparison
Author :
Shujaec, K. ; Sarathy, Sriprakash ; Nicholson, Roan ; George, Roy
Author_Institution :
Dept. of Eng., Clark Atlanta Univ., GA, USA
Abstract :
This paper discusses connections between the PID and adaptive controller with a neuro-fuzzy controller (NEFCON). The advantages and disadvantages of NEFCON are discussed. The results of this paper apply to a two-link robotic arm. The computer simulation shows that this technique is superior to conventional control techniques including PID and adaptive controllers.
Keywords :
fuzzy control; fuzzy logic; fuzzy set theory; learning (artificial intelligence); manipulator dynamics; neurocontrollers; detrimental learning; fuzzy logic; fuzzy neurocontrollers; fuzzy set theory; learning paradigm; neural networks; nonlinear dynamic systems; two-link robotic arm; Computer science; Control systems; Genetics; Large Hadron Collider; Logic; Mars; Neural networks; Robots; Robust control; Three-term control;
Conference_Titel :
Automation Congress, 2002 Proceedings of the 5th Biannual World
Print_ISBN :
1-889335-18-5
DOI :
10.1109/WAC.2002.1049546
