References
- Ana-Paula, Z. V., Ernesto, L. M., & Lesage, J. J. (2018). Input–output identification of controlled discrete manufacturing systems. International Journal of Systems Science, 45(3), 456–471. https://doi.org/10.1080/00207721.2012.724098
- Atawnih, A., Doulgeri, Z., & Rovithakis, G. A. (2015). Operational space prescribed tracking performance and compliance in flexible joint robots. Journal of Dynamic Systems, Measurement, and Control, 137(7), 074503-1–074503-6. https://doi.org/10.1115/1.4029529
- Ban, X., Ren, L., Yan, Z., & Ying, H. (2019). Perfect tracking control of discrete-time quadratic TS fuzzy systems via feedback linearisation. International Journal of Systems Science, 50(12), 2316–2332. https://doi.org/10.1080/00207721.2019.1655601
- 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
- Bechlioulis, C. P., & Rovithakis, G. A. (2009). Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems. Automatica, 45(2), 532–538. https://doi.org/10.1016/j.automatica.2008.08.012
- Dong, L., & Guang, H. Y. (2018). Model-free adaptive control design for nonlinear discrete-time processes with reinforcement learning technique. International Journal of Systems Science, 49(11), 2298–2308. https://doi.org/10.1080/00207721.2018.1498557
- Hou, Z. S., Chi, R., & Gao, H. (2017). An overview of dynamic-linearization-based data-driven control and applications. IEEE Transactions on Industrial Electronics, 64(5), 4076–4090. https://doi.org/10.1109/TIE.2016.2636126
- Hou, M., & Wang, Y. (2019). Data-driven adaptive terminal sliding mode control with prescribed performance. Asian Journal Control, 1–12. https://doi.org/10.1002/asjc.2245
- Hou, Z. S., & Wang, Z. (2013). From model-based control to data-driven control: Survey, classification and perspective. Information Sciences, 235, 3–35. https://doi.org/10.1016/j.ins.2012.07.014
- Hua, C., Qiu, Y., & Guan, X. (2020). Enhanced model-free adaptive iterative learning control with load disturbance and data dropout. International Journal of Systems Science, 51(11), 2057–2067. https://doi.org/10.1080/00207721.2020.1784492
- Li, S., Guo, J., & Xiang, Z. (2018). Sampled-data adaptive prescribed performance control of a class of nonlinear systems. Neurocomputing, 283, 282–292. https://doi.org/10.1016/j.neucom.2018.01.026
- Li, Y., Tong, S., & Li, T. (2015). Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control directions and unknown dead zones. IEEE Transactions on Fuzzy Systems, 23(4), 1228–1241. https://doi.org/10.1109/TFUZZ.2014.2348017
- Li, Y., Yang, C., Ge, S. S., & Lee, T. H. (2011). Adaptive output feedback NN control of a class of discrete-time MIMO nonlinear systems with unknown control directions. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 41(2), 507–517. https://doi.org/10.1109/TSMCB.2010.2065223
- Liang, H., Guo, X., Pan, Y., & Huang, T. (2020). Event-triggered fuzzy bipartite tracking control for network systems based on distributed reduced-order observers. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/TFUZZ.2020.2982618
- Liu, Y. H. (2014). Adaptive control for a class of uncertain nonlinear systems with prescribed performance. Control Theory and Applications, 31, 1123–1127. https://doi.org/10.7641/CTA.2014.30977
- Liu, D., & Yang, G. H. (2018). Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes. Journal of Process Control, 68, 186–194. https://doi.org/10.1016/j.jprocont.2018.06.006
- Liu, D., & Yang, G. H. (2019). Data-driven adaptive sliding mode control of nonlinear discrete-time systems with prescribed performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 49, 2598–2604. https://doi.org/10.1109/TSMC.6221021 doi: 10.1109/TSMC.2017.2779564
- Nguyen, M. L., Chen, X., & Yang, F. (2018). Discrete-time quasi-sliding-mode control with prescribed performance function and its application to piezo-actuated positioning systems. IEEE Transactions on Industrial Electronics, 65(1), 942–950. https://doi.org/10.1109/TIE.2017.2708024
- Nussbaum, R. D. (1983). Some remarks on a conjecture in parameter adaptive control. Systems & Control Letters, 3, 243–246. https://doi.org/10.1016/0167-6911(83)90021-X
- Radac, M. B., Precup, R. E., & Roman, R. C. (2016). Model-free control performance improvement using virtual reference feedback tuning and reinforcement Q-learning. International Journal of Systems Science, 48(5), 1071–1083. https://doi.org/10.1080/00207721.2016.1236423
- Radenkovic, M. S., & Altman, T. (2016). Stochastic adaptive stabilization via extremum seeking in case of unknown control directions. IEEE Transactions on Automatic Control, 61(11), 3681–3686. https://doi.org/10.1109/TAC.2016.2529963
- Shen, D., & Wang, Y. (2015). ILC for networked nonlinear systems with unknown control direction through random Lossy channel. Systems & Control Letters, 77, 30–39. https://doi.org/10.1016/j.sysconle.2014.12.008
- Shu, Z., Lijuan, L., Lijuan, Y., Shipin, Y., & Tao, Z. (2018). Data-driven process decomposition and robust online distributed modelling for large-scale processes. International Journal of Systems Science, 49(3), 449–463. https://doi.org/10.1080/00207721.2017.1406551
- Treesatayapun, C. (2016). Discrete-time adaptive controller based on estimated pseudo partial derivative and reaching sliding condition. Journal of Dynamic Systems, Measurement, and Control, 138, 101002-1–101002-6. https://doi.org/10.1115/1.4033408
- Treesatayapun, C. (2018a). Discrete-time adaptive controller for unfixed and unknown control direction. IEEE Transactions on Industrial Electronics, 65(7), 5367–5375. https://doi.org/10.1109/TIE.2017.2777414
- Treesatayapun, C. (2018b). Discrete-time sliding mode controller with time-varying band for unfixed sampling-time systems. Journal of Dynamic Systems, Measurement, and Control, 140, 111002-1–111002-10. https://doi.org/10.1115/1.4040209
- Treesatayapun, C., & Uatrongjit, S. (2005). Adaptive controller with Fuzzy rules emulated structure and its applications. Engineering Applications of Artificial Intelligence, 18, 603–615. https://doi.org/10.1016/j.engappai.2004.12.006
- Wang, L., Dong, J., & Xi, C. (2020). Event-triggered adaptive consensus for fuzzy output-constrained multi-agent systems with observers. Journal of the Franklin Institute, 357, 82–105. https://doi.org/10.1016/j.jfranklin.2019.09.033
- Wang, M., & Yang, A. (2017). Dynamic learning from adaptive neural control of robot manipulators with prescribed performance. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 2244–2255. https://doi.org/10.1109/TSMC.2016.2645942
- Wei, G., Liu, L., Wang, L., & Ding, D. (2020). Event-triggered control for discrete-time systems with unknown nonlinearities: An interval observer-based approach. International Journal of Systems Science, 51(6), 1019–1031. https://doi.org/10.1080/00207721.2020.1746441
- Yu, M., Zhang, J., & Qi, D. (2012). Discrete-time adaptive iterative learning control with unknown control directions. International Journal of Control, Automation and Systems, 10(6), 1111–1118. https://doi.org/10.1007/s12555-012-0605-0
- Zhang, J. X., & Yang, G. H. (2018). Fuzzy adaptive output feedback control of uncertain nonlinear systems with prescribed performance. IEEE Transactions on Cybernetics, 48(5), 1342–1354. https://doi.org/10.1109/TCYB.2017.2692767
- Zhang, B., & Zhao, X. G. (2020). Robust indirect adaptive sliding model control for Wiener nonlinear systems. International Journal of Systems Science, 51(7), 1307–1323. https://doi.org/10.1080/00207721.2020.1759729
- Zhou, Q., Li, H., Wang, L., & Lu, R. (2018). Prescribed performance observer-based adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(10), 1747–1758. https://doi.org/10.1109/TSMC.2017.2738155
- Zhu, Y., & Hou, Z. (2015). Controller dynamic linearisation-based model-free adaptive control framework for a class of non-linear system. IET Control Theory & Applications, 9(7), 1162–1172. https://doi.org/10.1049/iet-cta.2014.0743