Please use this identifier to cite or link to this item:
|Title:||Neural networks impedance control of robots interacting with environments|
|Citation:||Li, Y., Ge, S.S., Zhang, Q., Lee, T.H. (2013). Neural networks impedance control of robots interacting with environments. IET Control Theory and Applications 7 (11) : 1509-1519. ScholarBank@NUS Repository. https://doi.org/10.1049/iet-cta.2012.1032|
|Abstract:||In this study, neural networks (NN) impedance control is proposed for robot-environment interaction. Iterative learning control is developed to make the robot dynamics follow a given target impedance model. To cope with the problem of unknown robot dynamics, NN are employed such that neither the robot structure nor the physical parameters are required for the control design. The stability and performance of the resulted closed-loop system are discussed through rigorous analysis and extensive remarks. The validity and feasibility of the proposed method are verified through simulation studies. © The Institution of Engineering and Technology 2013.|
|Source Title:||IET Control Theory and Applications|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 21, 2019
WEB OF SCIENCETM
checked on Jan 2, 2019
checked on Dec 29, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.