TY - GEN
T1 - Infinite mode networks for bilateral motion control
AU - Yalcin, Baris
AU - Ohnishi, Kouhei
PY - 2008/10/30
Y1 - 2008/10/30
N2 - In this paper, a novel multi input multi output network model entitled as "infinite mode networks" is explained. The model proposes a challenging novel design concept. It has mathematically clear input output relationship compared to neural networks. This new model has a desired embedded internal function which roughly determines a route for the whole system to follow as DNA does for biological systems. By this model, infinitely many error dimensions can be defined and each error converges to zero in a stable manner. Additional to the network theory, an application on a haptic bilateral teleoperation system is shown.
AB - In this paper, a novel multi input multi output network model entitled as "infinite mode networks" is explained. The model proposes a challenging novel design concept. It has mathematically clear input output relationship compared to neural networks. This new model has a desired embedded internal function which roughly determines a route for the whole system to follow as DNA does for biological systems. By this model, infinitely many error dimensions can be defined and each error converges to zero in a stable manner. Additional to the network theory, an application on a haptic bilateral teleoperation system is shown.
UR - http://www.scopus.com/inward/record.url?scp=54549114600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=54549114600&partnerID=8YFLogxK
U2 - 10.1109/ICIT.2008.4608416
DO - 10.1109/ICIT.2008.4608416
M3 - Conference contribution
AN - SCOPUS:54549114600
SN - 9781424417063
T3 - Proceedings of the IEEE International Conference on Industrial Technology
BT - 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008 - Conference Proceedings
T2 - 2008 IEEE International Conference on Industrial Technology, IEEE ICIT 2008
Y2 - 21 April 2008 through 24 April 2008
ER -