References
- Abidi, K., & Xu, J. X. (2015). Advanced discrete-time control: Designs and applications. Springer.
- Amato, F. (2006). Robust control of linear systems subject to uncertain time-varying parameters. Springer.
- Argha, A., Su, S., Li, L., Nguyen, H. T., & Celler, B. G. (2018). Advances in discrete-time sliding mode control: Theory and applications. CRC Press.
- Cimen, T. (2012). Survey of state-dependent Riccati equation in nonlinear optimal feedback control synthesis. Journal of Guidance, Control, and Dynamics, 35(4), 1025–1047. https://doi.org/https://doi.org/10.2514/1.55821
- Duan, G. R. (2020a). High-order system approaches: I. Full-actuation and parametric design. Acta Automatica Sinica, 46(7), 1333–1345. https://doi.org/https://doi.org/10.16383/j.aas.c200234
- Duan, G. R. (2020b). High-order system approaches: II. Controllability and fully-actuation. Acta Automatica Sinica, 46(8), 1571–1581. (in Chinese). https://doi.org/https://doi.org/10.16383/j.aas.c200369
- Duan, G. R. (2020c). High-order system approaches: III. Observability and observer design. Acta Automatica Sinica, 46(9), 1885–1895. (in Chinese). https://doi.org/https://doi.org/10.16383/j.aas.c200370
- Duan, G. R. (2021a). High-order fully actuated system approaches: Part V. Robust adaptive control. International Journal of System Sciences, 52(10), 2129–2143. https://doi.org/https://doi.org/10.1080/00207721.2021.1879964
- Duan, G. R. (2021b). High-order fully actuated system approaches: Part VI. Disturbance attenuation and decoupling. International Journal of System Sciences, 52(10), 2161–2181. https://doi.org/https://doi.org/10.1080/00207721.2021.1879966
- Duan, G. R. (2021c). High-order fully actuated system approaches: Part VII. Controllability, stabilizability and parametric designs. International Journal of System Sciences. https://doi.org/https://doi.org/10.1080/00207721.2021.1921307
- Duan, G. R. (2021d). High-order fully actuated system approaches: Part VIII. Optimal control with application in spacecraft attitude stabilization. International Journal of System Sciences. https://doi.org/https://doi.org/10.1080/00207721.2021.1937750
- Duan, G. R. (2021e). High-order fully actuated system approaches: Part IX. Generalized PID control and model reference tracking. International Journal of System Sciences. https://doi.org/https://doi.org/10.1080/00207721.2021.1970277
- Duan, G. R. (2021f). High-order fully actuated system approaches: Part II. Generalized strict-feedback systems. International Journal of System Sciences, 52(3), 437–454. https://doi.org/https://doi.org/10.1080/00207721.2020.1829168
- Duan, G. R. (2021g). High-order fully actuated system approaches: Part III. Robust control and high-order backstepping. International Journal of System Sciences, 52(5), 952–971. https://doi.org/https://doi.org/10.1080/00207721.2020.1849863
- Duan, G. R. (2021h). High-order fully actuated system approaches: Part I. Models and basic procedure. International Journal of System Sciences, 52(2), 422–435. https://doi.org/https://doi.org/10.1080/00207721.2020.1829167
- Duan, G. R. (2021i). High-order fully actuated system approaches: Part IV. Adaptive control and high-order backstepping. International Journal of System Sciences, 52(5), 972–989. https://doi.org/https://doi.org/10.1080/00207721.2020.1849864
- Ge, S. S., Li, G. Y., & Lee, T. H. (2003). Adaptive NN control for a class of strict-feedback discrete-time nonlinear systems. Automatica, 39(5), 807–819. https://doi.org/https://doi.org/10.1016/S0005-1098(03)00032-3
- Ge, S. S., Yang, C., Dai, S. L., Jiao, Z., & Lee, T. H. (2009). Robust adaptive control of a class of nonlinear strict-feedback discrete-time systems with exact output tracking. Automatica, 45(11), 2537–2545. https://doi.org/https://doi.org/10.1016/j.automatica.2009.07.025
- Ge, S. S., Yang, C., & Lee, T. H. (2008). Adaptive robust control of a class of nonlinear strict-feedback discrete-time systems with unknown control directions. Systems & Control Letters, 57(11), 888–895. https://doi.org/https://doi.org/10.1016/j.sysconle.2008.04.006
- Grizzle, J. W., & Kokotovic, P. V. (1988). Feedback linearization of sampled-data systems. IEEE Transactions on Automatic Control, 33(9), 857–859. https://doi.org/https://doi.org/10.1109/9.1316
- Guo, L. (1997). On critical stability of discrete-time adaptive nonlinear control. IEEE Transactions on Automatic Control, 42(11), 1488–1499. https://doi.org/https://doi.org/10.1109/9.649684
- Haddad, W. M., & Chellaboina, V. (2011). Nonlinear dynamical systems and control: A Lyapunov-based approach. Princeton university press.
- Jakubczyk, B. (1987). Feedback linearization of discrete-time systems. Systems & Control Letters, 9(5), 411–416. https://doi.org/https://doi.org/10.1016/0167-6911(87)90070-3
- Kruszewski, A., Wang, R., & Guerra, T. M. (2010). Non-quadratic stabilization conditions for a class of uncertain non linear discrete-time T-S fuzzy models: A new approach. IEEE Transactions on Automatic Control, 53(2), 606–611. https://doi.org/https://doi.org/10.1109/TAC.2007.914278
- Landau, I. D., & Zito, G. (2007). Digital control systems: Design, identification and implementation. Springer Science & Business Media.
- Lewis, F. L., Vrabie, D., & Syrmos, V. L. (2012). Optimal control. John Wiley & Sons.
- Pannek, L. G. J., & Grüne, L. (2011). Nonlinear model predictive control: Theory and algorithms. Springer.
- Rugh, W. J. (1996). Linear system theory. Prentice-Hall.
- Xie, L. L., & Guo, L. (2000). How much uncertainty can be dealt with by feedback? IEEE Transactions on Automatic Control, 45(12), 2203–2217. https://doi.org/https://doi.org/10.1109/9.895559
- Xu, J. X. (2009). Real-time iterative learning control: Design and applications. Springer.
- Xu, W., Liu, X., Wang, H., & Zhou, Y. (2021). Observer-based adaptive neural network output-feedback control for nonlinear strict-feedback discrete-time systems. International Journal of Control Automation and Systems, 19(1), 267–278. https://doi.org/https://doi.org/10.1007/s12555-019-0996-2
- Yoshimura, T. (2018). Adaptive fuzzy dynamic surface control for a class of stochastic MIMO discrete-time nonlinear pure-feedback systems with full state constraints. International Journal of Systems Science, 49(15), 3037–3047. https://doi.org/https://doi.org/10.1080/00207721.2018.1531322
- Zhang, H., Liu, D., Luo, Y., & Wang, D. (2012). Adaptive dynamic programming for control: Algorithms and stability. Springer Science & Business Media.
- Zhang, Y., Wen, C., & Soh, Y. C. (2000). Discrete-time robust backstepping adaptive control for nonlinear time-varying systems. IEEE Transactions on Automatic Control, 45(9), 1749–1755. https://doi.org/https://doi.org/10.1109/9.880641
- Zhao, Y., & Gupta, V. (2016). Feedback passivation of discrete-time systems under communication constraints. IEEE Transactions on Automatic Control, 61(11), 3521–3526. https://doi.org/https://doi.org/10.1109/TAC.2016.2515848
- Zhou, B., Lin, Z., & Duan, G. R. (2009). A parametric Lyapunov equation approach to low gain feedback design for discrete-time systems. Automatica, 45(1), 238–244. https://doi.org/https://doi.org/10.1016/j.automatica.2008.06.019
- Zhou, K., Doyle, J. C., & Glover, K. (1996). Robust and optimal control. Prentice Hall.