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Articles

Reduced-order filtering for discrete-time singular systems under fading channels

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Pages 99-112 | Received 29 Nov 2021, Accepted 13 Jul 2022, Published online: 05 Aug 2022

References

  • Boukili, B., Hmamed, A., & Tadeo, F. (2016). Reduced-order H∞ filtering with intermittent measurements for a class of 2D systems. Journal of Control, Automation and Electrical Systems, 27(6), 597–607. https://doi.org/10.1007/s40313-016-0271-1
  • Chang, X. H. (2014). Robust output feedback H control and filtering for uncertain linear systems. Springer Science & Business.
  • Chang, X. H., & Liu, Y. (2020). Robust H∞ filtering for vehicle sideslip angle with quantization and data dropouts. IEEE Transactions on Vehicular Technology, 69(10), 10435–10445. https://doi.org/10.1109/TVT.2020.3008222
  • Chang, X. H., Xiong, J., Li, Z. M., & Park, J. H. (2017). Quantized static output feedback control for discrete-time systems. IEEE Transactions on Industrial Informatics, 14(8), 3426–3435. https://doi.org/10.1109/TII.2017.2774446
  • Chang, X. H., & Yang, G. H. (2014). Nonfragile H∞ filter design for T-S fuzzy systems in standard form. IEEE Transactions on Industrial Electronics, 61(7), 3448–3458. https://doi.org/10.1109/TIE.2013.2278955
  • Chen, W., Gao, F., Liu, G., Xu, S., & Zhang, Z. (2021). New reliable H∞ filter design for singular Markovian jump time-delay systems with sensor failures. International Journal of Robust and Nonlinear Control, 31(9), 4361–4377. https://doi.org/10.1002/rnc.5480
  • Cheng, J., Park, J. H., Wu, Z. G., & Yan, H. (2021). Ultimate boundedness control for networked singularly perturbed systems with deception attacks: A Markovian communication protocol approach. IEEE Transactions on Network Science and Engineering, 9(2), 445–456. https://doi.org/10.1109/TNSE.2021.3121414
  • Dai, L. (1989). Singular control systems. Springer.
  • Ding, D., Wang, Z., Shen, B., & Dong, H. (2015). Envelope-constrained H∞ filtering with fading measurements and randomly occurring nonlinearities: The finite horizon case. Automatica, 55, 37–45. https://doi.org/10.1016/j.automatica.2015.02.024
  • Ding, S., Mei, K., & Yu, X. (2021). Adaptive second-order sliding mode control: A Lyapunov approach. IEEE Transactions on Automatic Control. https://doi.org/10.1109/TAC.2021.3115447
  • El Aiss, H., Zoulagh, T., El Hajjaji, A., & Hmamed, A. (2021). Full and reduced-order H∞ filtering of Takagi-Sugeno fuzzy time-varying delay systems: Input-output approach. International Journal of Adaptive Control and Signal Processing, 35(5), 748–768. https://doi.org/10.1002/acs.3225
  • Elia, N. (2005). Remote stabilization over fading channels. Systems & Control Letters, 54(3), 237–249. https://doi.org/10.1016/j.sysconle.2004.08.009
  • Feng, J., & Han, K. (2015). Robust full- and reduced-order energy-to-peak filtering for discrete-time uncertain linear systems. Signal Processing, 108, 183–194. https://doi.org/10.1016/j.sigpro.2014.09.012
  • Feng, Z., & Lam, J. (2013). Reduced-order dissipative filtering for discrete-time singular systems. In 2013 IEEE international symposium on industrial electronics (pp. 1–6). IEEE. https://doi.org/10.1109/ISIE.2013.6563846
  • Feng, Z., & Lam, J. (2016). Dissipative control and filtering of discrete-time singular systems. International Journal of Systems Science, 47(11), 2532–2542. https://doi.org/10.1080/00207721.2014.998751
  • Geng, H., Wang, Z., Yi, X., Alsaadi, F. E., & Cheng, Y. (2021). Tobit Kalman filtering for fractional-order systems with stochastic nonlinearities under round-robin protocol. International Journal of Robust and Nonlinear Control, 31(6), 2348–2370. https://doi.org/10.1002/rnc.5396
  • Hao, Y. L., Chen, M. H., Li, L. J., & Xu, B. (2008). Comparison of robust H∞ filter and Kalman filter for initial alignment of inertial navigation system. Journal of Marine Science and Application, 7(2), 116–121. https://doi.org/10.1007/s11804-008-7041-9
  • Hsu, C. S., & Yu, X. (1996). Reduced-order H∞ filters with singular measurements. IFAC Proceedings Volumes, 29(1), 4492–4497. https://doi.org/10.1016/S1474-6670(17)58389-5
  • Hu, J., Cui, Y., Lv, C., Chen, D., & Zhang, H. (2020). Robust adaptive sliding mode control for discrete singular systems with randomly occurring mixed time delays under uncertain occurrence probabilities. International Journal of Systems Science, 51(6), 987–1006. https://doi.org/10.1080/00207721.2020.1746439
  • Hussain, I., Ruan, X., & Liu, Y. (2021). Convergence characteristics of iterative learning control for discrete-time singular systems. International Journal of Systems Science, 52(2), 217–237. https://doi.org/10.1080/00207721.2020.1824030
  • Jin, H., & Sun, S. (2021). Distributed Kalman filtering for sensor networks with random sensor activation, delays, and packet dropouts. International Journal of Systems Science, 53(3), 575–592. https://doi.org/10.1080/00207721.2021.1963502
  • Kchaou, M., Jerbi, H., Toual, B., & Kouzou, A. (2021). Non-fragile mixed H∞/passive-based asynchronous sliding mode control for nonlinear singular Markovian jump systems. International Journal of Systems Science, 53(3), 447–467. https://doi.org/10.1080/00207721.2021.1961912
  • Larimore, W. E. (1983). System identification, reduced-order filtering and modeling via canonical variate analysis. In IEEE. 1983 American control conference (pp. 445–451). IEEE. https://doi.org/10.23919/ACC.1983.4788156
  • Liu, Y., Ma, Y., & Wang, Y. (2018). Reliable finite-time sliding mode control for singular time-delay system with sensor faults and randomly occurring nonlinearities. Applied Mathematics and Computation, 320, 341–357. https://doi.org/10.1016/j.amc.2017.09.042
  • Loiseau, J. C., Noack, B. R., & Brunton, S. L. (2018). Sparse reduced-order modelling: sensor-based dynamics to full-state estimation. Journal of Fluid Mechanics, 844, 459–490. https://doi.org/10.1017/jfm.2018.147
  • Palma, J. M., Morais, C. F., Garcés, H. O., Carvalho, L. D. P., & Oliveira, R. C. (2022). A new approach of H∞ filtering for combustion systems using optical instrumentation. ISA Transactions, 120, 33–42. https://doi.org/10.1016/j.isatra.2021.03.023
  • Raja, M. A. Z., Mehmood, J., Sabir, Z., Nasab, A. K., & Manzar, M. A. (2019). Numerical solution of doubly singular nonlinear systems using neural networks-based integrated intelligent computing. Neural Computing and Applications, 31(3), 793–812. https://doi.org/10.1007/s00521-017-3110-9
  • Ren, X. X., & Yang, G. H. (2021). Multi-sensor Kalman filtering over packet-dropping networks subject to round-robin protocol scheduling. Journal of the Franklin Institute, 358(15), 7938–7954. https://doi.org/10.1016/j.jfranklin.2021.07.047
  • Shapira, I., & Ben-Asher, J. Z. (2004). Singular perturbation analysis of optimal glide. Journal of Guidance, Control, and Dynamics, 27(5), 915–918. https://doi.org/10.2514/1.2104
  • Song, Y., Wang, Z., Zou, L., & Liu, S. (2022). Endec-decoder-based N-step model predictive control: detectability, stability and optimization. Automatica, 135, 109961. https://doi.org/10.1016/j.automatica.2021.109961
  • Sun, Y. C., & Yang, G. H. (2021a). Distributed unscented Kalman filtering for nonlinear systems: A mixed event-triggered strategy. International Journal of Robust and Nonlinear Control, 31(10), 4647–4663. https://doi.org/10.1002/rnc.5496
  • Sun, Y. C., & Yang, G. H. (2021b). Remote state estimation for nonlinear systems via a fading channel: A risk-sensitive approach. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2021.3052563
  • Tobenkin, M. M., Manchester, I. R., & Megretski, A. (2017). Convex parameterizations and fidelity bounds for nonlinear identification and reduced-order modelling. IEEE Transactions on Automatic Control, 62(7), 3679–3686. https://doi.org/10.1109/TAC.2017.2694820
  • Tuan, H. D., Apkarian, P., & Nguyen, T. Q. (2001). Robust and reduced-order filtering: New LMI-based characterizations and methods. IEEE Transactions on Signal Processing, 49(12), 2975–2984. https://doi.org/10.1109/78.969506
  • Wang, J., Huang, Z., Wu, Z., Cao, J., & Shen, H. (2020). Extended dissipative control for singularly perturbed PDT switched systems and its application. IEEE Transactions on Circuits and Systems I: Regular Papers, 67(12), 5281–5289. https://doi.org/10.1109/TIE.2021.3116585
  • Wang, X. L., & Yang, G. H. (2019). H∞ filtering for T-S fuzzy systems with multiple time-varying delays: An improved delays-dependent region partitioning method. Information Sciences, 481, 368–380. https://doi.org/10.1016/j.ins.2018.12.088
  • Wu, L., & Zheng, W. X. (2011). Reduced-order H2 filtering for discrete linear repetitive processes. Signal Processing, 91(7), 1636–1644. https://doi.org/10.1016/j.sigpro.2011.01.007
  • Xu, S., & Lam, J. (2006). Robust control and filtering of singular systems. Springer.
  • Xu, S., & Lam, J. (2007). Reduced-order H∞ filtering for singular systems. Systems & Control Letters, 56(1), 48–57. https://doi.org/10.1016/j.sysconle.2006.07.010

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