Adaptive controller design for mobile robots
Lu, Cheng-Kai, Yi-Che, Huang, Cheng-Jun, Lee and Yang, Zhijun ORCID: https://orcid.org/0000-0003-2615-4297
(2014)
Adaptive controller design for mobile robots.
Electronics Letters, 50
(10)
.
pp. 743-745.
ISSN 0013-5194
[Article]
This is the latest version of this item.
![]() |
PDF
- Published version (with publisher's formatting)
Restricted to Repository staff and depositor only Download (387kB) |
Abstract
A simple yet effective method to reduce the dimensions of the input variables and is adaptive to various users for intelligent controllers is proposed. The method has been developed specifically to address the challenge due to fuzziness in the system inputs, especially when studying the relationship of a large mapping between input variables and system response outputs. The proposed method exploits the principal components analysis to reduce the number of inputs and uses a fuzzy c-means technique to cluster them. The objective is to extract significant principal components for adaptive neural fuzzy inference systems (ANFIS) learning. The method has been applied to a robotic walker system for elderly movement assistance. Experimental results demonstrate the feasibility of the proposed method.
Item Type: | Article |
---|---|
Research Areas: | A. > School of Science and Technology > Design Engineering and Mathematics |
Item ID: | 16359 |
Notes on copyright: | Access to full text restricted pending copyright check. |
Useful Links: | |
Depositing User: | Zhijun Yang |
Date Deposited: | 28 May 2015 10:10 |
Last Modified: | 10 Jun 2021 16:41 |
URI: | https://eprints.mdx.ac.uk/id/eprint/16359 |
Available Versions of this Item
- Adaptive controller design for mobile robots. (deposited 28 May 2015 10:10) [Currently Displayed]
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.