References
- Bechlioulis, C. P., & Rovithakis, G. A. (2008). Robust adaptive control of feedback linearizable MIMO nonlinear systems with prescribed performance. IEEE Transactions on Automatic Control, 53(9), 2090–2099. https://doi.org/10.1109/TAC.2008.929402
- Cao, Y., Xu, N., Wang, H., Zhao, X., & Ahmad, A. M. (2023). Neural networks-based adaptive tracking control for full-state constrained switched nonlinear systems with periodic disturbances and actuator saturation. International Journal of Systems Science, 54(14), 2689–2704. https://doi.org/10.1080/00207721.2023.2241959
- Chen, B., Liu, X. P., Ge, S. S., & Lin, C. (2012). Adaptive fuzzy control of a class of nonlinear systems by fuzzy approximation approach. IEEE Transactions on Fuzzy Systems, 20(6), 1012–1021. https://doi.org/10.1109/TFUZZ.2012.2190048
- Chen, M., Ma, H., Kang, Y., & Wu, Q. (2021). Adaptive neural safe tracking control design for a class of uncertain nonlinear systems with output constraints and disturbances. IEEE Transactions on Cybernetics, 52(11), 12571–12582. https://doi.org/10.1109/TCYB.2021.3074566
- Gao, S., Zhang, Y., & Liu, J. (2021). Output constraints vibration control for a flexible aircraft wing with prescribed performance. International Journal of Systems Science, 52(11), 2241–2254. https://doi.org/10.1080/00207721.2021.1882611
- He, W., & Dong, Y. (2017). Adaptive fuzzy neural network control for a constrained robot using impedance learning. IEEE Transactions on Neural Networks and Learning Systems, 29(4), 1174–1186. https://doi.org/10.1109/TNNLS.2017.2665581
- Li, D., Liu, L., Liu, Y. J., Tong, S., & Chen, C. P. (2019). Fuzzy approximation-based adaptive control of nonlinear uncertain state constrained systems with time-varying delays. IEEE Transactions on Fuzzy Systems, 28(8), 1620–1630. https://doi.org/10.1109/TFUZZ.91
- Li, H., Zhao, S., He, W., & Lu, R. (2019). Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone. Automatica, 100, 99–107. https://doi.org/10.1016/j.automatica.2018.10.030
- Liu, X., Wang, H., Gao, C., & Chen, M. (2017). Adaptive fuzzy funnel control for a class of strict feedback nonlinear systems. Neurocomputing, 241, 71–80. https://doi.org/10.1016/j.neucom.2017.02.030
- 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/10.1016/j.ins.2018.08.029
- Liu, Y. J., Li, J., Tong, S., & Chen, C. P. (2016). Neural network control-based adaptive learning design for nonlinear systems with full-state constraints. IEEE Transactions on Neural Networks and Learning Systems, 27(7), 1562–1571. https://doi.org/10.1109/TNNLS.2015.2508926
- Liu, Y. J., & Tong, S. (2016). Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints. Automatica, 64, 70–75. https://doi.org/10.1016/j.automatica.2015.10.034
- Liu, Y. J., Tong, S., Chen, C. P., & Li, D. J. (2016). Adaptive NN control using integral barrier Lyapunov functionals for uncertain nonlinear block-triangular constraint systems. IEEE Transactions on Cybernetics, 47(11), 3747–3757. https://doi.org/10.1109/TCYB.2016.2581173
- Ren, B., Ge, S. S., Tee, K. P., & Lee, T. H. (2010). Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function. IEEE Transactions on Neural Networks, 21(8), 1339–1345. https://doi.org/10.1109/TNN.2010.2047115
- Rodrguez, F. O., Yu, W., Feregrino, R. L., & Serrano, J. D. J. M. (2004). Stable PD control for ball and beam system. In International Symposium on Robot and Automation Quertaro (pp. 333–338).
- Song, Y. D., & Zhou, S. (2018). Tracking control of uncertain nonlinear systems with deferred asymmetric time-varying full state constraints. Automatica, 98, 314–322. https://doi.org/10.1016/j.automatica.2018.09.032
- Sui, S., Li, Y., & Tong, S. (2016). Observer-based adaptive fuzzy control for switched stochastic nonlinear systems with partial tracking errors constrained. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(12), 1605–1617. https://doi.org/10.1109/TSMC.2016.2523904
- Sun, T., & Pan, Y. (2019). Robust adaptive control for prescribed performance tracking of constrained uncertain nonlinear systems. Journal of the Franklin Institute, 356(1), 18–30. https://doi.org/10.1016/j.jfranklin.2018.09.005
- Sun, W., Su, S. F., Wu, Y., Xia, J., & Nguyen, V. T. (2019). Adaptive fuzzy control with high-order barrier Lyapunov functions for high-order uncertain nonlinear systems with full-state constraints. IEEE Transactions on Cybernetics, 50(8), 3424–3432. https://doi.org/10.1109/TCYB.6221036
- Sun, Y., Chen, B., Lin, C., Wang, H., & Zhou, S. (2016). Adaptive neural control for a class of stochastic nonlinear systems by backstepping approach. Information Sciences, 369, 748–764. https://doi.org/10.1016/j.ins.2016.06.010
- Tamasevicius, A., Namajunas, A., & Cenys, A. (1996). Simple 4D chaotic oscillator. Electronics Letters, 32(11), 957–958. https://doi.org/10.1049/el:19960630
- Tee, K. P., & Ge, S. S. (2011). Control of nonlinear systems with partial state constraints using a barrier Lyapunov function. International Journal of Control, 84(12), 2008–2023. https://doi.org/10.1080/00207179.2011.631192
- Tee, K. P., Ge, S. S., & Tay, E. H. (2009). Barrier Lyapunov functions for the control of output-constrained nonlinear systems. Automatica, 45(4), 918–927. https://doi.org/10.1016/j.automatica.2008.11.017
- Unnikrishnan, S., Prasad, J. V. R., & Yavrucuk, I. (2011). Flight evaluation of a reactionary envelope protection system for UAVs. Journal of the American Helicopter Society, 56(1), 1200914. https://doi.org/10.4050/JAHS.56.012009
- Wang, C., Wu, Y., Wang, F., & Zhao, Y. (2021). TABLF-based adaptive control for uncertain nonlinear systems with time-varying asymmetric full-state constraints. International Journal of Control, 94(5), 1238–1246. https://doi.org/10.1080/00207179.2019.1639825
- Xie, X. J., Guo, C., & Cui, R. H. (2020). Removing feasibility conditions on tracking control of full-state constrained nonlinear systems with time-varying powers. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(10), 6535–6543. https://doi.org/10.1109/TSMC.2019.2963205
- Xu, Z., Xie, N., Shen, H., Hu, X., & Liu, Q. (2021). Extended state observer-based adaptive prescribed performance control for a class of nonlinear systems with full-state constraints and uncertainties. Nonlinear Dynamics, 105(1), 345–358. https://doi.org/10.1007/s11071-021-06564-3
- Yin, Z., He, W., & Yang, C. (2017). Tracking control of a marine surface vessel with full-state constraints. International Journal of Systems Science, 48(3), 535–546. https://doi.org/10.1080/00207721.2016.1193255
- Yu, Y., Ding, L., & Wang, W. (2022). Finite-time adaptive fuzzy asymptotic tracking control for PMSMs with full-state constraints. International Journal of Systems Science, 53(5), 992–1003. https://doi.org/10.1080/00207721.2021.1983065
- Zhou, S., Wang, X., & Song, Y. (2022). Prescribed performance tracking control under uncertain initial conditions: A neuroadaptive output feedback approach. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2022.3192356 .