Page 99 - Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics
P. 99
RISE Based Asymptotic PPC of Servo Systems With Continuously Differentiable Friction Model 91
[19] S. Wang, X. Ren, J. Na, T. Zeng, Extended-state-observer-based funnel control for
nonlinear servomechanisms with prescribed tracking performance, IEEE Transactions
on Automation Science and Engineering 14 (1) (2017) 98–108.
[20] Herbert Jaeger, The “Echo State” Approach to Analysing and Training Recurrent
Neural Networks – with an Erratum Note, German National Research Center for
Information, Bonn, Germany, 2001, Technology GMD Technical Report, 148:34.
[21] Herbert Jaeger, Mantas Lukosevicius, Dan Popovici, Udo Siewert, Optimization and
applications of echo state networks with leaky-integrator neurons, Neural Networks
20 (3) (2007) 335–352.
[22] Jing Na, Xuemei Ren, Guido Herrmann, Zhi Qiao, Adaptive neural dynamic sur-
face control for servo systems with unknown dead-zone, Control Engineering Practice
19 (11) (2011) 1328–1343.
[23] Lu Lu, Zheng Chen, Bin Yao, Qingfeng Wang, Desired compensation adaptive ro-
bust control of a linear-motor-driven precision industrial gantry with improved cog-
ging force compensation, IEEE/ASME Transactions on Mechatronics 13 (6) (2008)
617–624.