<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/156" mdate="2008-08-23 00:00:00"> <author>A. Denker and U. Ak谋nc谋o臒lu</author> <title>Neural Adaptive Switching Control of Robotic Systems</title> <pages>1656 - 1659</pages> <year>2008</year> <volume>2</volume> <number>8</number> <journal>International Journal of Electrical and Computer Engineering</journal> <ee>https://publications.waset.org/pdf/156</ee> <url>https://publications.waset.org/vol/20</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>In this paper a neural adaptive control method has been developed and applied to robot control. Simulation results are presented to verify the effectiveness of the controller. These results show that the performance by using this controller is better than those which just use either direct inverse control or predictive control. In addition, they show that the resulting is a useful method which combines the advantages of both direct inverse control and predictive control.</abstract> <index>Open Science Index 20, 2008</index> </article>