1 |
J. Na, X. Ren, D. Zheng, "Adaptive control for nonlinear pure-feedback systems with high-order sliding mode observer," IEEE Trans. Neural Networks and Learning Systems, vol.24, no.3, pp.370-382, 2013. DOI: 10.1109/TNNLS.2012.2225845
DOI
|
2 |
Q. Shen, T. Zhang, and C.-C. Lim, "Novel neural control for a class of uncertain pure-feedback systems," IEEE Trans. Neural Networks and Learning Systems, vol.86, no.5, pp.912-922, 2014. DOI: 10.1109/TNNLS.2013.2280728
|
3 |
H. Wang, B. Chen, C. Lin, Y. Sun, "Observer-based adaptive neural control for a class of nonlinear pure-feedback systems," Neurocomputing, vol.171, pp.1517-1523, 2016. DOI: 10.1016/j.neucom.2015.07.103
DOI
|
4 |
S. S. Ge, C. Wang, "Adaptive nn control of uncertain nonlinear purefeedback systems," Automatica, vol.38, pp.671-682, 2002. DOI: 10.1016/S0005-1098(01)00254-0
DOI
|
5 |
Q. Zhao, Y. Lin, "Adaptive dynamic surface control for pure-feedback systems," Int. J. Robust and Nonlinear Control, vol.22, pp.1647-1660, 2016. DOI: 10.1109/TSMC.2017.2675540
DOI
|
6 |
G. Sun, et. al., "Robust adaptive neural control of uncertain purefeedback nonlinear systems," Int. J. Control, vol.86, no.5, pp.912-922, 2013. DOI: 10.1080/00207179.2013.765039
DOI
|
7 |
T. Zhang, X. Shi, Q. Zhu, Y. Yang, "Adaptive neural tracking control of pure-feedback nonlinear systems with unknown gain signs and unmodeled dynamics," Neurocomputing, vol.121, pp.290-297, 2013. DOI: 10.1016/j.neucom.2013.04.023
DOI
|
8 |
Z. Chen, et. al., "Adaptive neural control of mimo nonlinear systems with a block-trangular pure-feedback control structure," IEEE Trans. Neural Networks and Learning Systems, vol.25, no.11, pp.2017-2029, 2014. DOI: 10.1109/TNNLS.2014.2302856.
DOI
|
9 |
J. D. Hunter, "Matplotlib: A 2d graphics environment," Computing In Science & Engineering, vol.9, no.3, pp.90-95, 2007. DOI: 10.1109/MCSE.2007.55
DOI
|
10 |
G.Sun, D. Wang, Z. Peng, "Adaptive control based on single neural network approximation for non-linear pure-feedback sustems," IET Control Theory and Application, vol.6, no.15, pp.2387-2396, 2012. DOI: 10.1049/iet-cta.2011.0538
DOI
|
11 |
D. Wang, "Neural network-based adaptive dynamic surface control of uncertain nonlinear pure-feedback systems," Int. J. Robust and Nonlinear Control, vol. 21, pp. 527-541, 2011. DOI: 10.1002/rnc.1608
DOI
|
12 |
T.-P. Zhang, Q. Zhu, and Y.-Q. Yang, "Adaptive neural control of nonaffine pure-feedback non-linear systems with input nonlinearity and perturbed uncertainties," Int. J. Systems Science, vol.43, no.4, pp.691-706, 2012. DOI: 10.1080/00207721.2010.519060
DOI
|
13 |
S. Tong, Y. Li, P. Shi, "Observer-based adaptive fuzzy backstepping output feedback control of uncertain mimo pure-feedback nonlinear systems," IEEE Trans. Fuzzy Systems, vol.20, no.4, pp.771-785, 2012. DOI: 10.1109/TFUZZ.2012.2183604
DOI
|
14 |
Y. Li, S. Tong, T. Li, "Adaptive fuzzy output feedback dynamic surface control of interconnected nonlinear pure-feedback systems," IEEE Trans. Cybernetics, vol.45, no.1, pp.138-149, 2015. DOI: 10.1109/TCYB.2014.2333738
DOI
|
15 |
J.-H. Park, S. Kim, T. Park, "Output-Feedback Adaptive Neural Controller for Uncertain Pure-Feedback Nonlinear Systems Using a High-Order Sliding Mode Observer," IEEE Trans. Nueral Networks and Learning Systems, vol.30, no.5, pp.1596-1601, 2019. DOI: 10.1109/TNNLS.2018.2861942
DOI
|
16 |
J.-H. Park, S. Kim, T. Park, "Approximation-Free Output-Feedback Control of Uncertain Nonlinear Systems Using Higher-Order Sliding Mode Observer," J. Dynamic Sytems, Measurement, and Control, vol.140, no.12, pp.124-502, 2018. DOI: 10.1115/1.4040664
|
17 |
J.-H. Park, S. Kim, T. Park, "Asymptotically convergent switching differentiator," Int. J. Adaptive Control and Signal Processing, vol.33, pp.557-566, 2019. DOI: 10.1002/acs.2969
DOI
|
18 |
J.-H. Park, S.-H. Kim and C.-J. Moon, "Adaptive neural control for strict-feedback nonlinear systems without backstepping," IEEE Trans. Neural Networks, vol.20, no.7, pp.1204-1209, 2009. DOI: 10.1109/TNN.2009.2020982
DOI
|