Design of generalized Sugeno controllers by approximating hybrid fuzzy-PID controllers
G. Charles Clifton, Abdollah Homaifar, Marwan Bikdash
- Year
- 2002
- Citations
- 13
Abstract
This paper proposes a simple technique to design a generalized Sugeno-type controller (GSC). A hybrid fuzzy-PID (HFPID) controller is approximated using recursive least squares by a Sugeno-type controller. The method used to generate the approximating data is shown to affect the approximation. A comparison of the performance between a Sugeno-type controller and a hybrid fuzzy-PID controller when they are both applied to a two-degree-of-freedom robot manipulator arm is shown. Furthermore, the number of terms needed to produce accurate performance of the generalized Sugeno-type controller is also discussed.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991