Page 138 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics

134 Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics

[22] Li Tang, Yan Jun Liu, Shaocheng Tong, Adaptive neural control using reinforcement
learning for a class of robot manipulator, Neural Computing and Applications 25 (1)
(2014) 135–141.
[23] Jing Na, Qiang Chen, Xuemei Ren, Yu Guo, Adaptive prescribed performance mo-
tion control of servo mechanisms with friction compensation, IEEE Transactions on
Industrial Electronics 61 (1) (2014) 486–494.
[24] Jing Na, Xuemei Ren, Dongdong Zheng, Adaptive control for nonlinear pure-
feedback systems with high-order sliding mode observer, IEEE Transactions on Neural
Networks and Learning Systems 24 (3) (2013) 370–382.
[25] Liangyong Wang, Tianyou Chai, Lianfei Zhai, Neural-network-based terminal sliding-
mode control of robotic manipulators including actuator dynamics, IEEE Transactions
on Industrial Electronics 56 (9) (2009) 3296–3304.
[26] An Min Zou, K.D. Kumar, Zeng Guang Hou, Xi Liu, Finite-time attitude tracking
control for spacecraft using terminal sliding mode and Chebyshev neural network,
IEEE Transactions on Systems Man and Cybernetics Part B Cybernetics A Publication
of the IEEE Systems Man and Cybernetics Society 41 (4) (2011) 950–963.
[27] R.R. Selmic, F.L. Lewis, Deadzone compensation in motion control systems using
neural networks, in: IEEE International Conference on Control Applications, vol. 1,
2000, pp. 288–292.
[28] Qiang Chen, Xuemei Ren, Jing Na, Dongdong Zheng, Adaptive robust finite-time
neural control of uncertain PMSM servo system with nonlinear dead zone, Neural
Computing & Applications 28 (12) (2017) 3725–3736.
[29] Min Jung Lee, Young Kiu Choi, An adaptive neurocontroller using RBFN for robot
manipulators, IEEE Transactions on Industrial Electronics 51 (3) (2004) 711–717.