References
- Chen, W., & Li, J. (2009). Globally stable decentralized adaptive neural network backstepping tracking control. Control and Decision, 24(6), 819–824. https://doi.org/https://doi.org/10.13195/j.cd.2009.06.21.chenwsh.013
- Chen, W., & Li, J. (2010). Globally decentralized adaptive backstepping neural network tracking control for unknown nonlinear interconnected systems. Asian Journal of Control, 12(1), 96–102. https://doi.org/https://doi.org/10.1002/ASJC.160
- Choi, H., & Hammer, J. (2018). Optimal robust control of nonlinear time-delay systems: Maintaining low operating errors during feedback outages. International Journal of Control, 91(2), 297–319. https://doi.org/https://doi.org/10.1080/00207179.2016.1278273
- Duan, N., Wang, L., & Zhao, C. (2011). State-feedback regulation for a class of higher-order nonlinear systems with integral input-to-state stability unmodeled dynamics. Control Theory & Applications, 28(5), 639–644. https://CNKI:SUN:KZLY.0.2011-05-005
- Duan, N., & Xie, X. (2010). State-feedback regulation of nonlinear systems with iISS unmodeled dynamics. Acta Automatica Sinica, 36(7), 1033–1036. https://doi.org/https://doi.org/10.3724/SP.J.1004.2010.01033
- Ge, S., Hong, F., & Lee, T. (2004). Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 34(1), 499–516. https://doi.org/https://doi.org/10.1109/TSMCB.2003.817055
- Ge, S., & Tee, K. (2007). Approximation-based control of nonlinear MIMO time-delay systems. Automatica, 43(1), 31–43. https://doi.org/https://doi.org/10.1016/j.automatica.2006.08.003
- Guan, Z., Ma, Y., Zheng, Z., & Guo, N. (2018). Prescribed performance control for automatic carrier landing with disturbance. Nonlinear Dynamics, 94(2), 1335–1349. https://doi.org/https://doi.org/10.1007/s11071-018-4427-3
- Han, S., Ha, H., & Lee, J. (2016). Fuzzy finite-time dynamic surface control for nonlinear large-scale systems. International Journal of Fuzzy Systems, 18(4), 570–584. https://doi.org/https://doi.org/10.1007/s40815-015-0088-2
- Hu, L., Li, X., Liu, X., & Wang, H. (2019). Decentralised connectively finite-time control for a class of p-normal form nonlinear large-scale systems with expanding construction and its application. International Journal of Control. https://doi.org/https://doi.org/10.1080/00207179.2019.1662092
- Huang, J., Song, Y., Wang, W., Wen, C., & Li, G. (2018). Fully distributed adaptive consensus control of a class of high-order nonlinear systems with a directed topology and unknown control directions. IEEE Transactions on Cybernetics, 48(8), 2349–2356. https://doi.org/https://doi.org/10.1109/TCYB.2017.2737652
- Huang, J., Wang, W., Wen, C., & Zhou, J. (2018). Adaptive control of a class of strict-feedback time-varying nonlinear systems with unknown control coefficients. Automatica, 93(93), 98–105. https://doi.org/https://doi.org/10.1016/j.automatica.2018.03.061
- Jiang, Z., & Praly, L. (1998). Design of robust adaptive controllers for nonlinear systems with dynamic uncertainties. Automatica, 34(7), 825–840. https://doi.org/https://doi.org/10.1016/S0005-1098(98)00018-1
- Jin, X. (2018). Adaptive decentralized finite-time output tracking control for MIMO interconnected nonlinear systems with output constraints and actuator faults. International Journal of Robust and Nonlinear Control, 28(5), 1808–1829. https://doi.org/https://doi.org/10.1002/rnc.3987
- Jing, Y., Liu, Y., & Zhou, S. (2019). Prescribed performance finite-time tracking control for uncertain nonlinear systems. Journal of Systems Science and Complexity, 32(3), 803–817. https://doi.org/https://doi.org/10.1007/s11424-018-7287-5
- Li, T., Li, Z., Wang, D., & Chen, C. L. P. (2015). Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions. IEEE Transactions on Neural Networks and Learning Systems, 26(6), 1188–1201. https://doi.org/https://doi.org/10.1109/TNNLS.2014.2334638
- Li, X., & Liu, X. (2018). Backstepping-based decentralized adaptive neural H∞ tracking control for a class of large-scale nonlinear interconnected systems. Journal of the Franklin Institute, 355(11), 4533–4552. https://doi.org/https://doi.org/10.1016/j.jfranklin.2018.04.038
- Li, X., Liu, X., Xu, B., & Liu, Y. (2017). Adaptive neural network decentralized stabilization for nonlinear large scale interconnected systems with expanding construction. Journal of the Franklin Institute, 354(1), 233–256. https://doi.org/https://doi.org/10.1016/j.jfranklin.2016.10.003
- Li, X., Luo, X., Wang, J., & Guan, X. (2018). Finite-time consensus of nonlinear multi-agent system with prescribed performance. Nonlinear Dynamics, 91(4), 2397–2409. https://doi.org/https://doi.org/10.1007/s11071-017-4020-1
- Liu, Y., Fang, F., & Park, J. (2018). Decentralized dissipative filtering for delayed nonlinear interconnected systems based on T–S fuzzy model. IEEE Transactions on Fuzzy Systems, 27(4), 790–801. https://doi.org/https://doi.org/10.1109/TFUZZ.2018.2870079
- Liu, Y., Liu, X., Jing, Y., Chen, X., & Qiu, J. (2020). Direct adaptive preassigned finite-time control with time-delay and quantized input using neural network. IEEE Transactions on Neural Networks and Learning Systems, 31(4), 1222–1231. https://doi.org/https://doi.org/10.1109/TNNLS.2019.2919577
- Liu, Y., Liu, X., & Jing, Y. (2018). Adaptive neural networks finite-time tracking control for non-strict feedback systems via prescribed performance. Information Sciences, 468, 29–46. https://doi.org/https://doi.org/10.1016/j.ins.2018.08.029
- Liu, Y., Tong, S., & Chen, C. (2012). Adaptive fuzzy control via observer design for uncertain nonlinear systems with unmodeled dynamics. IEEE Transactions on Fuzzy Systems, 21(2), 275–288. https://doi.org/https://doi.org/10.1109/TFUZZ.2012.2212200
- Liu, X., Zhai, D., Li, T., & Zhang, Q. (2019). Fuzzy-approximation adaptive fault-tolerant control for nonlinear pure-feedback systems with unknown control directions and sensor failures. Fuzzy Sets and Systems, 356, 28–43. https://doi.org/https://doi.org/10.1016/j.fss.2018.03.017
- Lv, Y., Na, J., & Ren, X. (2019). Online H∞ control for completely unknown nonlinear systems via an identifier-critic-based ADP structure. International Journal of Control, 92(1), 100–111. https://doi.org/https://doi.org/10.1080/00207179.2017.1381763
- Millán, P., Orihuela, L., & Jurado, I. (2019). Distributed agent-based control and estimation over unreliable networks for a class of nonlinear large-scale systems. International Journal of Control, 92(3), 664–676. https://doi.org/https://doi.org/10.1080/00207179.2017.1365272
- Nussbaum, R. (1983). Some remarks on a conjecture in parameter adaptive control. Systems & Control Letters, 3(5), 243–246. https://doi.org/https://doi.org/10.1016/0167-6911(83)90021-X
- Rong, N., Wang, Z., & Zhang, H. (2018). Finite-time stabilization for discontinuous interconnected delayed systems via interval type-2 T-S fuzzy model approach. IEEE Transactions on Fuzzy Systems, 27(2), 249–261. https://doi.org/https://doi.org/10.1109/TFUZZ.2018.2856181
- Sanner, R., & Slotine, J. (1992). Gaussian networks for direct adaptive control. IEEE Transactions on Neural Networks, 3(6), 837–863. https://doi.org/https://doi.org/10.1109/72.165588
- Si, W., Dong, X., & Yang, F. (2018). Decentralized adaptive neural control for high-order stochastic nonlinear strongly interconnected systems with unknown system dynamics. Information Sciences, 424, 137–158. https://doi.org/https://doi.org/10.1016/j.ins.2017.09.071
- Si, W., Dong, X., & Yang, F. (2019). Decentralized adaptive neural prescribed performance control for high-order stochastic switched nonlinear interconnected systems with unknown system dynamics. ISA Transactions, 84, 55–68. https://doi.org/https://doi.org/10.1016/j.isatra.2018.09.019
- Sui, S., Tong, S., & Chen, C. (2018). Finite-time filter decentralized control for nonstrict-feedback nonlinear large-scale systems. IEEE Transactions on Fuzzy Systems, 26(6), 3289–3300. https://doi.org/https://doi.org/10.1109/TFUZZ.2018.2821629
- Sun, T., Pan, Y., Zhang, J., & Yu, H. (2018). Robust model predictive control for constrained continuous-time nonlinear systems. International Journal of Control, 91(2), 359–368. https://doi.org/https://doi.org/10.1080/00207179.2017.1282177
- Tong, S., Li, Y., & Shi, P. (2009). Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties. Information Sciences, 179(9), 1319–1332. https://doi.org/https://doi.org/10.1016/j.ins.2009.01.002
- Tong, S., Liu, C., & Li, Y. (2010). Fuzzy-adaptive decentralized output-feedback control for large-scale nonlinear systems with dynamical uncertainties. IEEE Transactions on Fuzzy Systems, 18(5), 845–861. https://doi.org/https://doi.org/10.1109/TFUZZ.2010.2050326
- Tong, S., Wang, T., Li, Y., & Zhang, H. (2013). Adaptive neural network output feedback control for stochastic nonlinear systems with unknown dead-zone and unmodeled dynamics. IEEE Transactions on Cybernetics, 44(6), 910–921. https://doi.org/https://doi.org/10.1109/TCYB.2013.2276043
- Tooranjipour, P., Vatankhah, R., & Arefi, M. (2019). Prescribed performance adaptive fuzzy dynamic surface control of nonaffine time-varying delayed systems with unknown control directions and dead-zone input. International Journal of Adaptive Control and Signal Processing, 33(7), 1134–1156. https://doi.org/https://doi.org/10.1002/acs.3014
- 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/https://doi.org/10.1080/00207721.2013.773470
- Wang, H., Chen, B., Lin, C., Sun, Y., & Wang, F. (2017). Adaptive finite-time control for a class of uncertain high-order non-linear systems based on fuzzy approximation. IET Control Theory & Applications, 11(5), 677–684. https://doi.org/https://doi.org/10.1049/iet-cta.2016.0947
- Wang, H., Liu, X., Chen, B., & Zhou, Q. (2014). Adaptive fuzzy decentralized control for a class of pure-feedback large-scale nonlinear systems. Nonlinear Dynamics, 75(3), 449–460. https://doi.org/https://doi.org/10.1007/s11071-013-1077-3
- Wang, H., Liu, W., Qiu, J., & Liu, P. X. (2017). Adaptive fuzzy decentralized control for a class of strong interconnected nonlinear systems with unmodeled dynamics. IEEE Transactions on Fuzzy Systems, 26(2), 836–846. https://doi.org/https://doi.org/10.1109/TFUZZ.2017.2694799
- Wang, Z., Rong, N., & Zhang, H. (2018). Finite-time decentralized control of IT2 T-S fuzzy interconnected systems with discontinuous interconnections. IEEE Transactions on Cybernetics, 49(9), 3547–3556. https://doi.org/https://doi.org/10.1109/TCYB.2018.2848626
- Wang, C., Wen, C., & Hu, Q. (2020). Event-triggered adaptive control for a class of nonlinear systems with unknown control direction and sensor faults. IEEE Transactions on Automatic Control, 65(2), 763–770. https://doi.org/https://doi.org/10.1109/TAC.2019.2916999
- Wang, X., Yin, X., & Shen, F. (2018). Robust adaptive neural tracking control for a class of nonlinear systems with unmodeled dynamics using disturbance observer. Neurocomputing, 292, 49–62. https://doi.org/https://doi.org/10.1016/j.neucom.2018.02.082
- Wang, H., Zou, Y., Liu, P., & Liu, X. (2018). Robust fuzzy adaptive funnel control of nonlinear systems with dynamic uncertainties. Neurocomputing, 314, 299–309. https://doi.org/https://doi.org/10.1016/j.neucom.2018.06.053
- Yang, H., & Wang, H. (2016). Robust adaptive fault-tolerant control for uncertain nonlinear system with unmodeled dynamics based on fuzzy approximation. Neurocomputing, 173, 1660–1670. https://doi.org/https://doi.org/10.1016/j.neucom.2015.09.039
- Zhang, T., & Ge, S. (2007). Adaptive neural control of MIMO nonlinear state time-varying delay systems with unknown dead-zones and gain signs. Automatica, 43(6), 1021–1033. https://doi.org/https://doi.org/10.1016/j.automatica.2006.12.014
- Zhang, L., Hua, C., Yu, H., & Guan, X. (2019). Decentralised adaptive control of switched interconnected high-order nonlinear systems with unknown control direction and time-delay. International Journal of Control, 92(4), 875–885. https://doi.org/https://doi.org/10.1080/00207179.2017.1372634
- Zhang, T., & Xia, X. (2015). Decentralized adaptive fuzzy output feedback control of stochastic nonlinear large-scale systems with dynamic uncertainties. Information Sciences, 315, 17–38. https://doi.org/https://doi.org/10.1016/j.ins.2015.04.002
- Zhang, J., & Yang, G. (2017). Prescribed performance fault-tolerant control of uncertain nonlinear systems with unknown control directions. IEEE Transactions on Automatic Control, 62(12), 6529–6535. https://doi.org/https://doi.org/10.1109/TAC.2017.2705033