DocumentCode
2524348
Title
Adaptive Neuro-Fuzzy Inference System based control of robotic manipulators
Author
Adhyaru, Dipak M. ; Patel, Jimit ; Gianchandani, Rishi
Author_Institution
Instrum. & Control Eng. Dept., Nirma Univ., Ahmedabad, India
fYear
2010
fDate
10-12 Sept. 2010
Firstpage
353
Lastpage
358
Abstract
Robot manipulators have become increasingly important in the field of flexible automation. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.
Keywords
adaptive systems; control system synthesis; flexible manipulators; fuzzy neural nets; inference mechanisms; manipulator dynamics; ANFIS; adaptive neuro-fuzzy inference system; controller design; flexible automation; robotic manipulator; trajectory tracking; Robots; Fuzzy logic; Neural Network; Robot Controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-8100-2
Electronic_ISBN
978-1-4244-8102-6
Type
conf
DOI
10.1109/ICMET.2010.5598379
Filename
5598379
Link To Document