References
- Apostol, T. M. (2004). Mathematical analysis. Addison-Wesley.
- Arefi, M. M., Zarei, J., & Karimi, H. R. (2014). Adaptive output feedback neural network control of uncertain non-affine systems with unknown control direction. Journal of the Franklin Institute, 351(8), 4302–4316. https://doi.org/10.1016/j.jfranklin.2014.05.006
- Chen, M., & Ge, S. S. (2013). Direct adaptive neural control for a class of uncertain nonaffine nonlinear systems based on disturbance observer. IEEE Transactions on Cybernetics, 43(4), 1213–1225. https://doi.org/10.1109/TSMCB.2012.2226577
- Chen, W., Jiao, L., Li, J., & Li, R. (2010). Adaptive NN backstepping output-feedback control for stochastic nonlinear strict-feedback systems with time-varying delays. IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics A Publication of the IEEE Systems Man & Cybernetics Society, 40(3), 939–950. https://doi.org/10.1109/TSMCB.2009.2033808
- Chen, W. S., Jiao, L. C., & Du, Z. B. (2010). Brief paper: Output-feedback adaptive dynamic surface control of stochastic non-linear systems using neural network. IET Control Theory & Applications, 4(12), 3012–3021. https://doi.org/10.1049/iet-cta.2009.0428
- Chen, W., Wu, J., & Jiao, L. C. (2012). State-feedback stabilization for a class of stochastic time-delay nonlinear systems. International Journal of Robust and Nonlinear Control, 22(17), 1921–1937. https://doi.org/10.1002/rnc.1798
- Cui, G., Xu, S., Zhang, B., Lu, J., Li, Z., & Zhang, Z. (2017). Adaptive tracking control for uncertain switched stochastic nonlinear pure-feedback systems with unknown backlash-like hysteresis. Journal of the Franklin Institute, 354(4), 1801–1818. https://doi.org/10.1016/j.jfranklin.2016.12.029
- Deng, H., & Krsti, M. (1997). Stochastic nonlinear stabilization–I: A backstepping design. Systems & Control Letters, 32(3), 143–150. https://doi.org/10.1016/S0167-6911(97)00068-6
- Duan, N., & Xie, X. J. (2011). Further results on output-feedback stabilization for a class of stochastic nonlinear systems. IEEE Transactions on Automatic Control, 56(5), 1208–1213. https://doi.org/10.1109/TAC.2011.2107112
- Gao, T., Liu, Y. J., Liu, L., & Li, D. (2018). Adaptive neural network-based control for a class of nonlinear pure-feedback systems with time-varying full state constraints. IEEE/CAA Journal of Automatica Sinica, 5(05), 41–51. https://doi.org/CNKI:SUN:ZDHB.0.2018-05-003
- Ge, S. S., & Wang, C. (2002). Adaptive NN control of uncertain nonlinear pure-feedback systems. Automatica, 38(4), 671–682. https://doi.org/10.1016/S0005-1098(01)00254-0
- Jagannathan, S., & Lewis, F. L. (1996). Discrete-time neural net controller for a class of nonlinear dynamical systems. IEEE Transactions on Automatic Control, 41(11), 1693–1699. https://doi.org/10.1109/9.544013
- Ji, H. B., & Xi, H. S. (2006). Adaptive output-feedback tracking of stochastic nonlinear systems. IEEE Transactions on Automatic Control, 51(2), 355–360. https://doi.org/10.1109/TAC.2005.863501
- Jiang, B., Shen, Q., & Shi, P. (2015). Neural-networked adaptive tracking control for switched nonlinear pure-feedback systems under arbitrary switching. Automatica, 61(11), 119–125. https://doi.org/10.1016/j.automatica.2015.08.001
- Kang, Q., Wang, W., & Liu, Y. (2002). Adaptive robust fuzzy control for a class of uncertain nonlinear systems in pure-feedback form. Automatica, 38(8), 1365–1372. https://doi.org/10.1016/S0005-1098(02)00034-1
- Krstic, M., Modestino, J. W., Massey, J. L., Thoma, M., Sontag, E. D., & Dickinson, B. W. (1998). Stabilization of nonlinear uncertain systems. Stabilization of nonlinear uncertain systems. Springer.
- Li, D. P., & Li, D. J. (2017). Adaptive neural tracking control for an uncertain state constrained robotic manipulator with unknown time-varying delays. IEEE Transactions on Systems Man & Cybernetics Systems, 48(12), 2219–2228. https://doi.org/10.1109/TSMC.2017.2703921
- Li, J., Chen, W., & Li, J. M. (2011). Adaptive NN output-feedback decentralized stabilization for a class of large-scale stochastic nonlinear strict-feedback systems. International Journal of Robust & Nonlinear Control, 21(4), 452–472. https://doi.org/10.1002/rnc.1609
- Li, Y., Li, Y., & Tong, S. (2013). Adaptive fuzzy decentralized output feedback control for stochastic nonlinear large-scale systems using DSC technique. International Journal of Robust & Nonlinear Control, 23(4), 381–399. https://doi.org/10.1002/rnc.1834
- Li, Y., Sui, S., & Tong, S. (2017). Adaptive fuzzy control design for stochastic nonlinear switched systems with arbitrary switchings and unmodeled dynamics. IEEE Transactions on Cybernetics, 47(2), 403–414. https://doi.org/10.1109/TCYB.2016.2518300
- Li, Y., Tong, S., & Li, T. (2012). Adaptive fuzzy output feedback control of uncertain nonlinear systems with unknown backlash-like hysteresis. Information Sciences, 198(12), 130–146. https://doi.org/10.1016/j.ins.2012.02.050
- Li, Y., Tong, S., & Li, T. (2015). Adaptive fuzzy backstepping control design for a class of pure-feedback switched nonlinear systems. Nonlinear Analysis: Hybrid Systems, 16, 72–80. https://doi.org/10.1016/j.nahs.2014.11.002
- Liu, L., Liu, Y. J., & Tong, S. (2018a). Fuzzy based multi-error constraint control for switched nonlinear systems and its applications. IEEE Transactions on Fuzzy Systems, 27(8), 1519–1531. https://doi.org/10.1109/TFUZZ.2018.2882173
- Liu, L., Liu, Y. J., & Tong, S. (2018b). Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems. IEEE Transactions on Cybernetics, 49(7), 2536–2545. https://doi.org/10.1109/TCYB.2018.2828308
- Liu, S. J., Zhang, J. F., & Jiang, Z. P. (2007). Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems. Automatica, 43(2), 238–251. https://doi.org/10.1016/j.automatica.2006.08.028
- Liu, Y. J., & Tong, S. (2015). Adaptive NN tracking control of uncertain nonlinear discrete-time systems with nonaffine dead-zone input. IEEE Transactions on Cybernetics, 45(3), 497–505. https://doi.org/10.1109/TCYB.2014.2329495
- Ma, Q., Cui, G., & Jiao, T. (2014). Neural-network-based adaptive tracking control for a class of pure-feedback stochastic nonlinear systems with backlash-like hysteresis. Neurocomputing, 144, 501–508. https://doi.org/10.1016/j.neucom.2014.04.024
- Min, W., Zhang, S. Y., Bing, C., & Fei, L. (2010). Direct adaptive neural control for stabilization of nonlinear time-delay systems. Science China(Information Sciences), 53(4), 800–812. https://doi.org/CNKI:SUN:JFXG.0.2010-04-013
- Psillakis, H. E., & Alexandridis, A. T. (2007). NN-based adaptive tracking control of uncertain nonlinear systems disturbed by unknown covariance noise. IEEE Transactions on Neural Networks, 18(6), 1830–1835. https://doi.org/10.1109/TNN.2007.901274
- Ren, B., San, P. P., Ge, S. S., & Lee, T. H. (2009). Adaptive dynamic surface control for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis. Conference on American Control Conference, Vol. 1, 4482–4487. https://doi.org/10.1109/ACC.2009.5160295
- Su, C. Y., Stepanenko, Y., Svoboda, J., & Leung, T. P. (2002). Robust adaptive control of a class of nonlinear systems with unknown backlash-like hysteresis. IEEE Transactions on Automatic Control, 45(12), 2427–2432. https://doi.org/10.1109/9.895588
- Swaroop, D., Hedrick, J. K., Yip, P. P., & Gerdes, J. C. (2000). Dynamic surface control for a class of nonlinear systems. IEEE Transactions on Automatic Control, 45(10), 1893–1899. https://doi.org/10.1109/TAC.2000.880994
- Tao, G. (1995). Adaptive control of plants with unknown hysteresis. IEEE Transactions on Automatic Control, 40(1), 59–68. https://doi.org/10.1109/9.341778
- Wang, C., Hill, D. J., Ge, S. S., & Chen, G. (2006). An ISS-modular approach for adaptive neural control of pure-feedback systems. Automatica, 42(5), 723–731. https://doi.org/10.1016/j.automatica.2006.01.004
- Wang, D., & Huang, J. (2005). Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form. IEEE Transactions on Neural Network, 16(1), 195–202. https://doi.org/10.1109/TNN.2004.839354
- Wang, H., Chen, B., & Lin, C. (2014). Adaptive fuzzy control for pure-feedback stochastic nonlinear systems with unknown dead-zone input. International Journal of Systems Science, 45(12), 2552–2564. https://doi.org/10.1080/00207721.2013.773470
- Wang, H., Chen, B., Liu, K., Liu, X., & Lin, C. (2014). Adaptive neural tracking control for a class of nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis. IEEE Transactions on Neural Networks and Learning Systems, 25(5), 947–958. https://doi.org/10.1109/TNNLS.2013.2283879
- Wang, H., Chen, B., Liu, X., Liu, K., & Lin, C. (2013). Robust adaptive fuzzy tracking control for pure-feedback stochastic nonlinear systems with input constraints. IEEE Transactions on Cybernetics, 43(6), 2093–2104. https://doi.org/10.1109/TCYB.2013.2240296
- Wang, H., Liu, P. X., & Niu, B. (2017). Robust fuzzy adaptive tracking control for nonaffine stochastic nonlinear switching systems. IEEE Transactions on Cybernetics, 48(8), 2462–2471. https://doi.org/10.1109/TCYB.2017.2740841
- Wang, M., Liu, X., & Shi, P. (2011). Adaptive neural control of pure-feedback nonlinear time-delay systems via dynamic surface technique. IEEE Transactions on Systems Man & Cybernetics Part B Cybernetics A Publication of the IEEE Systems Man & Cybernetics Society, 41(6), 1681–1692. https://doi.org/10.1109/TSMCB.2011.2159111
- Wang, Y. C., Zhang, H. G., & Wang, Y. Z. (2006). Fuzzy adaptive control of stochastic nonlinear systems with unknown virtual control gain function. Acta Autom. Sinica, 32(2), 170–178. https://doi.org/10.1007/11816157_5
- Wu, Z. J., Xie, X. J., Peng, S., & Xia, Y. Q. (2009). Backstepping controller design for a class of stochastic nonlinear systems with markovian switching. Automatica, 45(4), 997–1004. https://doi.org/10.1016/j.automatica.2008.12.002
- Wu, Z. J., Xie, X. J., & Zhang, S. Y. (2007). Adaptive backstepping controller design using stochastic small-gain theorem. Automatica, 43(4), 608–620. https://doi.org/10.1016/j.automatica.2006.10.020
- Xie, X. J., Duan, N., & Yu, X. (2011). State-feedback control of high-order stochastic nonlinear systems with SIISs inverse dynamics. IEEE Transactions on Automatic Control, 56(8), 1921–1926. https://doi.org/10.1109/TAC.2011.2135150
- Yin, S., Yu, H., Shahnazi, R., & Haghani, A. (2017). Fuzzy adaptive tracking control of constrained nonlinear switched stochastic pure-feedback systems. IEEE Transactions on Cybernetics, 47(3), 579–588. https://doi.org/10.1109/TCYB.2016.2521179
- Yoo, S. J., & Park, J. B. (2009). Neural-network-based decentralized adaptive control for a class of large-scale nonlinear systems with unknown time-varying delays. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: A Publication of the IEEE Systems, Man, and Cybernetics Society, 39(5), 1316–1323. https://doi.org/10.1109/TSMCB.2009.2016110
- Yu, Z., Li, S., Yu, Z., & Li, F. (2017). Adaptive neural output feedback control for nonstrict-feedback stochastic nonlinear systems with unknown backlash-like hysteresis and unknown control directions. IEEE Transactions on Neural Networks and Learning Systems, 29(4), 1147–1160. https://doi.org/10.1109/TNNLS.2017.2669088
- Zhang, T. P., & Ge, S. S. (2008). Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form. Automatica, 44(7), 1895–1903. https://doi.org/10.1016/j.automatica.2007.11.025
- Zhang, T., & Xia, X. (2015). Adaptive output feedback tracking control of stochastic nonlinear systems with dynamic uncertainties. International Journal of Robust and Nonlinear Control, 25(9), 1282–1300. https://doi.org/10.1002/rnc.3139
- Zhou, Q., Shi, P., Liu, H., & Xu, S. (2012). Neural-network-based decentralized adaptive output-feedback control for large-scale stochastic nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics: A Publication of the IEEE Systems, Man, and Cybernetics Society, 42(6), 1608–1619. https://doi.org/10.1109/TSMCB.2012.2196432
- Zhou, Q., Shi, P., Xu, S., & Li, H. (2013). Observer-based adaptive neural network control for nonlinear stochastic systems with time delay. IEEE Transactions on Neural Networks and Learning Systems, 24(1), 71–80. https://doi.org/10.1109/TNNLS.2012.2223824