TY - GEN
T1 - Further investigations on noise-tolerant zeroing neural network for time-varying quadratic programming with robotic applications
AU - Liu, Mei
AU - Li, Shuai
AU - Zhang, Yinyan
AU - Jin, Long
PY - 2017/8/10
Y1 - 2017/8/10
N2 - Recently, a modified zeroing neural network (MZNN) model has been presented for solving quadratic programming problems, which is of noise-tolerant ability. In this paper, we conduct further investigations on such a model and then present a nonlinear function activated model. Finally, the presented nonlinear function activated model is applied to the motion control of robots.
AB - Recently, a modified zeroing neural network (MZNN) model has been presented for solving quadratic programming problems, which is of noise-tolerant ability. In this paper, we conduct further investigations on such a model and then present a nonlinear function activated model. Finally, the presented nonlinear function activated model is applied to the motion control of robots.
KW - Redundant manipulators
KW - Time-varying quadratic programming
KW - Zeroing neural networks
UR - http://www.scopus.com/inward/record.url?scp=85039071089&partnerID=8YFLogxK
U2 - 10.1145/3127942.3127956
DO - 10.1145/3127942.3127956
M3 - Conference article published in proceeding or book
AN - SCOPUS:85039071089
T3 - ACM International Conference Proceeding Series
SP - 107
EP - 112
BT - Proceedings of 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
PB - Association for Computing Machinery
T2 - 2017 International Conference on Algorithms, Computing and Systems, ICACS 2017
Y2 - 10 August 2017 through 13 August 2017
ER -