Please use this identifier to cite or link to this item:
Title: Hybrid adaptive fuzzy control of robot manipulators
Authors: Chin, Swee Hong.
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Robotics
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 1998
Abstract: Detailed derivations of the Hybrid Adaptive Fuzzy Controller (HAFC) for robot manipulators are included in this thesis. This controller is a weighted combination of DAFC and IAFC together with a continuously-switched supervisory controller. The proposed controller is able to improve the performance of the system in an iterative manner by learning or adapting from the tracking errors that result from previous attempts at achieving the desired motion. In particular, the controller not only does not require the exact mathematical model of the manipulator, but also the boundary of the unknown dynamics can be adaptively estimated on-line.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
  Restricted Access
Main report12 MBAdobe PDFView/Open

Page view(s) 50

Updated on Oct 3, 2023


Updated on Oct 3, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.