References
- Debouza, M., Durra, A. A., Errouissi, R., & Muyeen, S. M. (2018). Direct power control for grid-connected doubly fed induction generator using disturbance observer based control. Renewable Energy, 125, 365–372. https://doi.org/10.1016/j.renene.2018.02.121
- Dong, S. L., Wu, Z. G., Shi, P., Karimi, H. R., & Su, H. Y. (2018). Networked fault detection for Markov jump nonlinear systems. IEEE Transactions on Fuzzy Systems, 26(6), 3368–3378. https://doi.org/10.1109/TFUZZ.91
- Faraji-Niri, M., & Motlagh, M. R. J. (2017). Stochastic stability and stabilization of semi-Markov jump linear systems with uncertain transition rates. Information Technology and Control, 46(1), 37–52. https://doi.org/10.5755/j01.itc.46.1.13881
- Gu, K., Kharitonov, V. L., & Chen, J. (2003). Stability of time-delay systems. Birkhauser.
- Guo, L., & Chen, W. H. (2005). Disturbance attenuation and rejection for systems with nonlinearity via DOBC approach. International Journal of Robust and Nonlinear Control, 15(3), 109–125. https://doi.org/10.1002/(ISSN)1099-1239
- Han, C. Y., & Wang, W. (2019). Linear state estimation for Markov jump linear system with multi-channel observation delays and packet dropouts. International Journal of Systems Science, 50(1), 163–177. https://doi.org/10.1080/00207721.2018.1551969
- Han, X. X., & Wu, K. N. (2019). H∞ boundary control for stochastic delay reaction-diffusion systems with Markovian switching. ICIC Express Letters, 13(8), 735–742. https://doi.org/10.24507/icicel.13.08.735
- He, H. F., Gao, X. W., & Qi, W. H. (2017). Sampled-data control of asynchronously switched non-linear systems via T-S fuzzy model approach. IET Control Theory & Applications, 11(16), 2817–2823. https://doi.org/10.1049/iet-cta.2017.0521
- Hou, L. Y., Cheng, J., & Qi, W. H. (2017). Event-triggered reliable control for fuzzy Markovian jump systems with mismatched membership functions. ISA Transactions, 66, 96–104. https://doi.org/10.1016/j.isatra.2016.09.006
- Isidori, A. (1995). Nonlinear control systems. Springer-Verlag.
- Li, Y. K., Sun, H. B., Zong, G. D., & Hou, L. L. (2017). Anti-disturbance control for time-varying delay Markovian jump nonlinear systems with multiple disturbances. International Journal of Systems Science, 48(15), 3186–3200. https://doi.org/10.1080/00207721.2017.1367864
- Lin, W.-J., He, Y., Zhang, C.-K., & Wu, M. (2020). Stochastic finite-time H∞ state estimation for discrete-time semi-Markovian jump neural networks with time-varying delays. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2020.2968074
- Liu, H. P., Boukas, E. K., Sun, F. C., & Ho, D. W. C. (2006). Controller design for Markov jump systems subject to actuator saturation. Automatica, 42(3), 459–465. https://doi.org/10.1016/j.automatica.2005.10.017
- Liu, Z., Yu, J. P., Zhao, L., Ma, Y. M., Xue, B. Q., & Cheng, S. (2020). Adaptive H∞ sliding mode control for a class of uncertain Markovian jump systems with time-delay. ICIC Express Letters, 14(4), 319–327. https://doi.org/10.24507/icicel.14.04.319
- Ma, X., Djouadi, S. M., & Li, H. (2012). State estimation over a semi-Markov model based cognitive radio system. IEEE Transactions on Wireless Communications, 11(7), 2391–2401. https://doi.org/10.1109/TWC.2012.050112.102085
- Ma, Y. C., Jia, X. R., & Liu, D. Y. (2018). Finite-time dissipative control for singular discrete-time Markovian jump systems with actuator saturation and partly unknown transition rates. Applied Mathematical Modelling, 53, 49–70. https://doi.org/10.1016/j.apm.2017.07.035
- Nakao, M., Ohnishi, K., & Miyachi, K. (1987). A robust decentralized joint control based on interference estimation. Proceedings. 1987 IEEE international conference on robotics and automation (pp. 326–331). Raleigh, NC, USA. https://doi.org/10.1109/ROBOT.1987.1087996
- Nguyen, N. H. A., Kim, S. H., & Choi, J. (2016). Stabilization of semi-Markovian jump systems with uncertain probability intensities and its extension to quantized control. Mathematical Problems in Engineering. https://doi.org/10.1155/2016/8417475
- Oliveira, A. M. D., & Costa, O. L. V. (2018). Mixed H2/H∞ filtering for Markov jump linear systems. International Journal of Systems Science, 49(15), 3023–3036. https://doi.org/10.1080/00207721.2018.1531321
- Qi, W. H., & Gao, X. W. (2015). Finite-time H∞ control for stochastic time-delayed Markovian switching systems with partly known transition rates and nonlinearity. International Journal of Systems Science, 47(2), 500–508. https://doi.org/10.1080/00207721.2015.1025891
- Qi, W. H., & Gao, X. W. (2016). H∞ observer design for stochastic time-delayed systems with Markovian switching under partly known transition rates and actuator saturation. Applied Mathematics and Computation, 289, 80–97. https://doi.org/10.1016/j.amc.2016.05.011
- Qi, W. H., Kao, Y. G., & Gao, X. W. (2017). Further results on finite-time stabilization for stochastic Markovian jump systems with time-varying delay. International Journal of Systems Science, 48(14), 2967–2975. https://doi.org/10.1080/00207721.2017.1364447
- Qi, W. H., Park, J. H., Zong, G. D., Cao, J. D., & Cheng, J. (2018a). A fuzzy Lyapunov function approach to positive L1 observer design for positive fuzzy semi-Markovian switching systems with its application. IEEE Transactions on Systems, Man, and Cybernetics: System. https://doi.org/10.1109/TSMC.2018.2882536
- Qi, W. H., Park, J. H., Zong, G. D., Cao, J. D., & Cheng, J. (2018b). Anti-windup design for saturated semi-Markovian switching systems with stochastic disturbance. IEEE Transactions on Circuits and Systems II: Express Briefs, 66(7), 1187–1191. https://doi.org/10.1109/TCSII.8920
- Qi, W. H., Zong, G. D., & Karim, H. R. (2018). Observer-based adaptive SMC for nonlinear uncertain singular semi-Markov jump systems with applications to DC motor. IEEE Transactions on Circuits and Systems I: Regular Papers, 65(9), 2951–2960. https://doi.org/10.1109/TCSI.8919
- Qi, W. H., Zong, G. D., & Karim, H. R. (2020). Sliding mode control for nonlinear stochastic singular semi-markov jump systems. IEEE Transactions on Automatic Control, 65(1), 361–368. https://doi.org/10.1109/TAC.9
- Shen, H., Dai, M. C., Yan, H. C., & Park, J. H. (2018). Quantized output feedback control for stochastic semi-Markov jump systems with unreliable links. IEEE Transactions on Circuits and Systems II: Express Briefs, 65(12), 1998–2002. https://doi.org/10.1109/TCSII.2018.2801343
- Shen, M. Q., Nguang, S. K., & Ahn, C. K. (2018). Quantized H∞ output control of linear Markov jump systems in finite frequency domain. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/TSMC.2018.2798159
- Song, G. F., Lam, J., & Xu, S. Y. (2018). Quantized feedback stabilization of continuous time-delay systems subject to actuator saturation. Nonlinear Analysis: Hybrid Systems, 30, 1–13. https://doi.org/10.1016/j.nahs.2018.04.002
- Sun, H. B., Li, Y. K., Zong, G. D., & Hou, L. L. (2018). Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities. Automatica, 89, 349–357. https://doi.org/10.1016/j.automatica.2017.12.046
- Wang, R. H., Hou, L. L., Zong, G. D., Fei, S. M., & Yang, D. (2019). Stability and stabilization of continuous-time switched systems: A multiple discontinuous convex Lyapunov function approach. International Journal of Robust and Nonlinear Control, 29(5), 1499–1514. https://doi.org/10.1002/rnc.v29.5
- Wang, R. H., Jiao, T. C., Zhang, T., & Fei, S. M. (2019). Improved stability results for discrete-time switched systems: A multiple piecewise convex Lyapunov function approach. Applied Mathematics and Computation, 353, 54–65. https://doi.org/10.1016/j.amc.2019.01.065
- Wang, B., & Zhu, Q. X. (2018). Stability analysis of semi-Markov switched stochastic systems. Automatica, 94, 72–80. https://doi.org/10.1016/j.automatica.2018.04.016
- Wei, X. J., & Chen, N. (2014). Composite hierarchical anti-disturbance control for nonlinear systems with DOBC and fuzzy control. International Journal of Robust and Nonlinear Control, 24(2), 362–373. https://doi.org/10.1002/rnc.v24.2
- Wei, Y. L., Liu, G. P., Zong, G. D., & Shen, H. (2019). Composite anti-disturbance control for uncertain Markovian jump systems with actuator saturation based disturbance observer and adaptive neural network. Journal of the Franklin Institute. https://doi.org/10.1016/j.jfranklin.2019.06.006
- Wei, Y. L., Zheng, W. X., & Xu, S. Y. (2015). Anti-disturbance control for nonlinear systems subject to input saturation via disturbance observer. Systems & Control Letters, 85, 61–69. https://doi.org/10.1016/j.sysconle.2015.08.006
- Wen, X. Y., & Yan, P. (2020). Disturbance-prediction-based control of input time delay systems for rejection of unknown frequency disturbances. International Journal of Robust and Nonlinear Control, 30(1), 338–350. https://doi.org/10.1002/rnc.v30.1
- Wu, Z. T., Li, B., Gao, C. C., & Jiang, B. P. (2019). Observer-based H∞ control design for singular switching semi-Markovian jump systems with random sensor delays. ISA Transactions. https://doi.org/10.1016/j.isatra.2019.09.002
- Xiong, J., & Lam, J. (2009). Robust H2 control of Markovian jump systems with uncertain switching probabilities. International Journal of Systems Science, 40(3), 255–265. https://doi.org/10.1080/00207720802300347
- Xu, Z. W., Su, H., Shi, P., & Wu, Z. G. (2019). Asynchronous H∞ control of semi-Markov jump linear systems. Applied Mathematics and Computation, 349, 270–280. https://doi.org/10.1016/j.amc.2018.12.010
- Yang, Z. J. (2018). Robust consensus tracking of second-order nonlinear systems using relative position information by K-filter and disturbance observer based control. International Journal of Systems Science, 49(15), 3117–3129. https://doi.org/10.1080/00207721.2018.1533600
- Yang, H. Y., Jiang, Y. C., & Yin, S. (2018). Fault-tolerant control of time-delay Markov jump systems with Ito^ stochastic process and output disturbance based on sliding mode observer. IEEE Transactions on Industrial Informatics, 14(12), 5299–5307. https://doi.org/10.1109/TII.2018.2812754
- Zhang, D., Cheng, J., Ahn, C. K., & Ni, H. J. (2019). A flexible terminal approach to stochastic stability and stabilization of continuous-time semi-Markovian jump systems with time-varying delay. Applied Mathematics and Computation, 342, 191–205. https://doi.org/10.1016/j.amc.2018.09.035
- Zhang, L. X., Leng, Y. S., & Colaneri, P. (2016). Stability and stabilization of discrete-time semi-Markov jump linear systems via semi-Markov kernel approach. IEEE Transactions on Automatic Control, 61(2), 503–508. https://doi.org/10.1109/TAC.2015.2438424.
- Zhang, H. Y., Qiu, Z. P., & Xiong, L. L. (2019). Stochastic stability criterion of neutral-type neural networks with additive time-varying delay and uncertain semi-Markov jump. Neurocomputing, 333, 395–406. https://doi.org/10.1016/j.neucom.2018.12.028
- Zheng, C. D., Shan, Q. H., Zhang, H. G., & Wang, Z. S. (2013). On stabilization of stochastic Cohen-Grossberg neural networks with mode-dependent mixed time-delays and Markovian switching. IEEE Transactions on Neural Networks and Learning Systems, 24(5), 800–811. https://doi.org/10.1109/TNNLS.2013.2244613
- Zong, G. D., Li, Y. K., & Sun, H. B. (2019). Composite anti-disturbance resilient control for Markovian jump nonlinear systems with general uncertain transition rate. Science China Information Sciences, 62(2), 22205. https://doi.org/10.1007/s11432-017-9448-8
- Zong, G. D., Qi, W. H., & Karimi, H. R. (2020). L1 control of positive semi-Markov jump systems with state delay. IEEE Transactions on Systems, Man, and Cybernetics: Systems. https://doi.org/10.1109/TSMC.2020.2980034
- Zong, G. D., & Ren, H. L. (2019). Guaranteed cost finite-time control for semi-Markov jump systems with event-triggered scheme and quantization input. International Journal of Robust and Nonlinear Control, 29(15), 5251–5273. https://doi.org/10.1002/rnc.v29.15