References
- Achour, H., Boukhetala, D., & Labdelaoui, H. (2020). An observer-based robust H∞ controller design for uncertain Takagi–Sugeno fuzzy systems with unknown premise variables using particle swarm optimisation. International Journal of Systems Science, 51(14), 2563–2581. https://doi.org/https://doi.org/10.1080/00207721.2020.1797922
- Chaibi, R., Rachid, I. E., Tissir, E. H., & Hmamed, A. (2018). Finite-frequency static output feedback H∞ control of continuous-time T–S fuzzy systems. Journal of Circuits, Systems and Computers, 28(2), 233–244. https://doi.org/https://doi.org/10.1142/S0218126619500233
- Chang, X. H., Xiong, J., & Park, J. H. (2016). Fuzzy robust dynamic output feedback control of nonlinear systems with linear fractional parametric uncertainties. Applied Mathematics and Computation, 291(1), 213–225. https://doi.org/https://doi.org/10.1016/j.amc.2016.07.001
- Delmotte, F., Guerra, T. M., & Ksantini, M. (2007). Continuous Takagi–Sugeno's models: Reduction of the number of LMI conditions in various fuzzy control design technics. IEEE Transactions on Fuzzy Systems, 15(3), 426–438. https://doi.org/https://doi.org/10.1109/TFUZZ.2006.889829
- Ding, D. R., Wang, Z. D., Shen, B., & Dong, H. (2015). Envelope-constrained H∞ filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case. Automatica, 55(2), 37–45. https://doi.org/https://doi.org/10.1016/j.automatica.2015.02.024
- Dong, J., & Yang, G. (2017). H∞ filtering for continuous-time T–S fuzzy systems with partly immeasurable premise variables. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 1931–1940. https://doi.org/https://doi.org/10.1109/TSMC.2016.2572145
- Faria, F. A., Silva, G. N., & Oliveira, V. A. (2013). Reducing the conservatism of LMI-based stabilisation conditions for T–S fuzzy systems using fuzzy Lyapunov functions. International Journal of Systems Science, 44(10), 1956–1969. https://doi.org/https://doi.org/10.1080/00207721.2012.670307
- Guelton, K., Bouarar, T., & Manamanni, N. (2009). Robust dynamic output feedback fuzzy Lyapunov stabilization of Takagi–Sugeno systems – A descriptor redundancy approach. Fuzzy Sets and Systems, 160(19), 2796–2811. https://doi.org/https://doi.org/10.1016/j.fss.2009.02.008
- Guerra, T. M., & Vermeiren, L. (2004). LMI-based relaxed nonquadratic stabilization conditions for nonlinear systems in the Takagi–Sugeno's form. Automatica, 40(5), 823–829. https://doi.org/https://doi.org/10.1016/j.automatica.2003.12.014
- Hu, G., Liu, X., Wang, L., & Li, H. (2019). Further study on local analysis of continuous-time T–S fuzzy models with bounded disturbances. IET Control Theory & Applications, 13(3), 403–410. https://doi.org/https://doi.org/10.1049/cth2.v13.3
- Jaadari, A., Guerra, T. M., Sala, A., Bernal, M., & Guelton, K. (2012). New controllers and new designs for continuous-time Takagi–Sugeno models. In IEEE International Conference on Fuzzy Systems (pp. 1–7). IEEE. https://doi.org/http://doi.org/10.1109/FUZZ-IEEE.2012.6250789
- Lam, H. (2018). A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent analysis. Engineering Applications of Artificial Intelligence, 67(1), 390–408. https://doi.org/https://doi.org/10.1016/j.engappai.2017.09.007
- Lam, J., & Zhou, S. (2007). Dynamic output feedback H∞ control of discrete-time fuzzy systems: A fuzzy-basis-dependent lyapunov function approach. International Journal of Systems Science, 38(1), 25–37. https://doi.org/https://doi.org/10.1080/00207720601042967
- Li, H., Pan, Y., Shi, P., & Shi, Y. (2016). Switched fuzzy output feedback control and its application to a mass-spring-damping system. IEEE Transactions on Fuzzy Systems, 24(6), 1259–1269. https://doi.org/https://doi.org/10.1109/TFUZZ.2015.2505332
- Li, H. Y., Pan, Y. G., Yang, X. B., Yu, Z. D., & Zhao, X. D. (2014). Fuzzy output-feedback control for non-linear systems with input time-varying delay. IET Control Theory & Applications, 8(9), 738–745. https://doi.org/https://doi.org/10.1049/cth2.v8.9
- Liu, Y., Wu, F., & Ban, X. (2017). Dynamic output feedback control for continuous-time T–S fuzzy systems using fuzzy lyapunov functions. IEEE Transactions on Fuzzy Systems, 25(5), 1155–1167. https://doi.org/https://doi.org/10.1109/TFUZZ.2016.2598852
- Pan, J., Guerra, T. M., Fei, S., & Jaadari, A. (2012). Nonquadratic stabilization of continuous T–S fuzzy models: LMI solution for a local approach. IEEE Transactions on Fuzzy Systems, 20(3), 594–602. https://doi.org/https://doi.org/10.1109/TFUZZ.2011.2179660
- Rachid, I. E., Chaibi, R., Tissir, E. H., & Hmamed, A. (2018). Observer-based H∞ control with finite frequency specifications for discrete-time T–S fuzzy systems. International Journal of Systems Science, 49(1), 1–13. https://doi.org/https://doi.org/10.1080/00207721.2017.1397805
- Rhee, B. J., & Won, S. (2006). A new fuzzy Lyapunov function approach for a Takagi–Sugeno fuzzy control system design. Fuzzy Sets and Systems, 157(9), 1211–1228. https://doi.org/https://doi.org/10.1016/j.fss.2005.12.020
- Shi, P., Su, X., & Li, F. (2016). Dissipativity-based filtering for fuzzy switched systems with stochastic perturbation. IEEE Transactions on Automatic Control, 61(6), 1694–1699. https://doi.org/https://doi.org/10.1109/TAC.2015.2477976
- Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems, Man, and Cybernetics, 15(1), 387–403. https://doi.org/http://doi.org/10.1109/TSMC.1985.6313399
- Tanaka, K., & Wang, H. O. (2002). Fuzzy control systems design and analysis: A linear matrix inequality approach. John Wiley & Sons, Inc.
- Tognetti, E. S., Oliveira, R. C., & Peres, P. L. (2012). Reduced-order dynamic output feedback control of continuous-time T–S fuzzy systems. Fuzzy Sets Syst., 207(5), 27–44. https://doi.org/https://doi.org/10.1016/j.fss.2012.04.013
- Tuan, H. D., Apkarian, P., Narikiyo, T., & Yamamoto, Y. (2001). Parameterized linear matrix inequality techniques in fuzzy control system design. IEEE Transactions on Fuzzy Systems, 9(2), 324–332. https://doi.org/https://doi.org/10.1109/91.919253
- Wang, L., & Lam, H. (2021). H∞ control for continuous-time Takagi–Sugeno fuzzy model by applying generalized Lyapunov function and introducing outer variables. Automatica, 125(3). https://doi.org/http://doi.org/10.1016/j.automatica.2020.109409
- Wang, L., Liu, J., & Lam, H. K. (2020). Further study on stabilization for continuous-time Takagi–Sugeno fuzzy systems with time delay. IEEE Transactions on Cybernetics, 51(11), 5637–5643. https://doi.org/http://doi.org/10.1109/TCYB.2020.2973276
- Wang, L. K., Zhang, H. G., & Liu, X. D. (2016). H∞ observer design for continuous-time Takagi–Sugeno fuzzy model with unknown premise variables via nonquadratic lyapunov function. IEEE Transactions on Cybernetics, 46(9), 1986–1996. https://doi.org/https://doi.org/10.1109/TCYB.2015.2459016
- Wang, Z. D., James, L., Bo, S., & Ding, D. R. (2015). Finite-horizon H∞ control for discrete time-varying systems with randomly occurring nonlinearities and fading measurements. IEEE Transactions on Automatic Control, 60(9), 2488–2493. https://doi.org/https://doi.org/10.1109/TAC.2014.2380671
- Xu, S., & Lam, J. (2005). Robust H∞ control for uncertain discrete-time-delay fuzzy systems via output feedback controllers. IEEE Transactions on Fuzzy Systems, 13(1), 82–93. https://doi.org/https://doi.org/10.1109/TFUZZ.2004.839661
- Yan, Z., Zhang, J., & Hu, G. (2020). A new approach to fuzzy output feedback controller design of continuous-time Takagi–Sugeno fuzzy systems. International Journal of Fuzzy Systems, 22(6), 2223–2235. https://doi.org/https://doi.org/10.1007/s40815-020-00920-y
- Yang, J., & Tong, S. (2017). Observer-based output-feedback control design for a class of nonlinear switched T–S fuzzy systems with actuator saturation and time delay. International Journal of Fuzzy Systems, 19(1), 1333–1343. https://doi.org/https://doi.org/10.1007/s40815-017-0366-2
- Zhai, D., Lu, A. Y., Dong, J., & Zhang, Q. L. (2016). Dynamic output feedback H∞ control for switched T–S fuzzy systems via discretized Lyapunov function technique. Neurocomputing, 177(6), 651–669. https://doi.org/https://doi.org/10.1016/j.neucom.2015.12.016
- Zhang, H., & Xie, X. (2011). Relaxed stability conditions for continuous-time T–S fuzzy-control systems via augmented multi-indexed matrix approach. IEEE Transactions on Fuzzy Systems, 19(3), 478–492. https://doi.org/https://doi.org/10.1109/TFUZZ.2011.2114887
- Zhang, Z., Lin, C., & Chen, B. (2015). New decentralized H∞ filter design for nonlinear interconnected systems based on Takagi–Sugeno fuzzy models. IEEE Transactions on Cybernetics, 45(12), 2914–2924. https://doi.org/https://doi.org/10.1109/TCYB.2015.2389267
- Zhao, T., & Dian, S. (2017). Fuzzy dynamic output feedback H∞ control for continuous-time T–S fuzzy systems under imperfect premise matching. ISA Transactions, 70(2), 248–259. https://doi.org/https://doi.org/10.1016/j.isatra.2017.05.001