A Hierarchical Supervisory Fuzzy Controller for Robot Manipulators with Oscillatory Bases

2006 ◽  
Author(s):  
J. Lin ◽  
Z.-Z. Huang
Keyword(s):  
Fuzzy Controller ◽  
Robot Manipulators

scholarly journals Sectorial Fuzzy Controller Plus Feedforward applied to the Trajectory Tracking of Robot Manipulators

2020 ◽  
Vol 53 (2) ◽  
pp. 9918-9923
Author(s):  
Andres O. Pizarro-Lerma ◽  
Victor Santibanez ◽  
Ramon Garcia-Hernandez ◽  
Jorge Villalobos Chin
Keyword(s):  
Trajectory Tracking ◽  
Fuzzy Controller ◽  
Robot Manipulators

A novel global asymptotic stable set-point fuzzy controller with bounded torques for robot manipulators

2005 ◽  
Vol 13 (3) ◽  
pp. 362-372 ◽  
Author(s):  
V. Santibanez ◽  
R. Kelly ◽  
M.A. Llama
Keyword(s):  
Fuzzy Controller ◽  
Robot Manipulators ◽  
Stable Set ◽  
Set Point ◽  
Asymptotic Stable

An adaptive fuzzy controller based on sliding mode for robot manipulators

1999 ◽  
Vol 29 (5) ◽  
pp. 661-667 ◽  
Author(s):  
F.C. Sun ◽  
Z.Q. Sun ◽  
G. Feng
Keyword(s):  
Fuzzy Controller ◽  
Sliding Mode ◽  
Robot Manipulators ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy

Decentralized fuzzy linguistic control of multiple robotic manipulators with guaranteed global stability

2019 ◽  
Vol 20 (1) ◽  
pp. 185-204
Author(s):  
Yongqing Fan ◽  
Wenqing Wang ◽  
Xiangkui Jiang ◽  
Zhen Li
Keyword(s):  
Fuzzy Logic ◽  
Global Stability ◽  
Fuzzy Controller ◽  
Robot Manipulators ◽  
Design Method ◽  
Robotic Manipulators ◽  
Adaptive Controller ◽  
Fuzzy Logic Systems ◽  
Approximation Accuracy ◽  
Logic Systems

Abstract A decentralized adaptive control based on human linguistic is investigated to learn human behaviors for multiple robotic manipulators. Many experts’ words or sentences can be transferred into the control actions by employing membership functions in robot systems, which can be synthesized fuzzy controller by employing reasoning mechanism. For the unknown model dynamical robot manipulators, one adjustable parameter that relates to the approximation accuracy of fuzzy logic systems is introduced at first, which be utilized to deal with the unknown dynamics of robot manipulators. Switching fuzzy adaptive controller is designed to overcome the limitation of logic structure that the number of adaptive laws only focus on fuzzy rules in conventional fuzzy logic systems. Another advantage of this design method is that the control with human linguistic extend the semi-global stability to global stability. Finally, effectiveness of the developed control design scheme has been shown in simulation example.

A NEW ADAPTIVE NEURO-FUZZY CONTROLLER FOR TRAJECTORY TRACKING OF ROBOT MANIPULATORS

2011 ◽  
Vol 26 (1) ◽  
Author(s):  
Dimitrios C. Theodoridis ◽  
Yiannis S. Boutalis ◽  
Manolis A. Christodoulou
Keyword(s):  
Trajectory Tracking ◽  
Fuzzy Controller ◽  
Robot Manipulators ◽  
Neuro Fuzzy

Fuzzy Controller for Robot Manipulators

2007 ◽  
pp. 688-697 ◽  
Author(s):  
Basil M. Al-Hadithi ◽  
Fernando Matía ◽  
Agustín Jiménez
Keyword(s):  
Fuzzy Controller ◽  
Robot Manipulators

Real-time on line tuning of fuzzy controller for two-link rigid–flexible robot manipulators

2012 ◽  
Vol 35 (6) ◽  
pp. 730-741 ◽  
Author(s):  
A Marwan ◽  
Nagi Farrukh ◽  
KSM Sahari ◽  
S Hanim
Keyword(s):  
Real Time ◽  
Fuzzy Controller ◽  
Robot Manipulators ◽  
Flexible Robot ◽  
On Line
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