Finite-horizon H_∞ filtering and fault isolation for a class of time-varying systems with sensor saturation

References

• Cao, Y. Y., Lin, Z. l., & Chen, B. M. (2003). An output feedback H∞ controller design for linear systems subject to sensor nonlinearities. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 50(7), 914–921. https://doi.org/10.1109/TCSI.2003.813967
   Google Scholar
• Colaneri, P., & Ferrante, A. (2006). Algebraic Riccati equation and J-spectral factorization for H∞ smoothing and deconvolution. SIAM Journal on Control and Optimization, 45(1), 123–145. https://doi.org/10.1137/S0363012903434741
   Web of Science ®Google Scholar
• Ding, D., Wang, Z., & Han, Q. (2019). A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks. IEEE Transactions on Automatic Control, 65(4), 1792–1799. https://doi.org/TAC.2019.2934389 doi: 10.1109/TAC.2019.2934389
   Web of Science ®Google Scholar
• Ding, D., Wang, Z., Lam, J., & Shen, B. (2013). State-saturated H∞ filtering with randomly occurring nonlinearities and packet dropouts: The finite-horizon case. International Journal of Robust and Nonlinear Control, 23(16), 1803–1821. https://doi.org/10.1002/rnc.v23.16 doi: 10.1002/rnc.2850
   Web of Science ®Google Scholar
• Ding, D., Wang, Z., Lam, J., & Shen, B. (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/10.1109/TAC.2014.2380671
   Web of Science ®Google Scholar
• Du, D., Jiang, B., & Shi, P. (2012). Fault detection for discrete-time switched systems with intermittent measurements. International Journal of Control, 85(1), 78–87. https://doi.org/10.1080/00207179.2011.639087
   Web of Science ®Google Scholar
• Gershon, E., Shaked, U., & Bernian, N. (2005). Control and estimation of state multiplicative linear systems. Springer-Verlag London Limited.
   Google Scholar
• Gershon, E., Shaked, U., & Bernian, N. (2007). H∞ control and estimation of retarded state-multiplicative stochastic systems. IEEE Transactions on Automatic Control, 52(9), 1773–1779. https://doi.org/10.1109/TAC.2007.904618
   Web of Science ®Google Scholar
• Han, J., Zhang, H., Wang, Y., & Sun, X. (2018). Robust fault detection for switched fuzzy systems with unknown input. IEEE Transactions on Cybernetics, 48(11), 3056–3066. https://doi.org/10.1109/TCYB.2017.2755864
   PubMed Web of Science ®Google Scholar
• He, Y., Liu, G.-P., Rees, D., & Wu, M. (2009). H∞ filtering for discrete-time systems with time-varying delay. Signal Processing, 89(3), 275–282. https://doi.org/10.1016/j.sigpro.2008.08.008
   Web of Science ®Google Scholar
• He, X., Wang, Z., Liu, Y., & Zhou, D. H. (2013). Least-squares fault detection and diagnosis for networked sensing systems using a direct state estimation approach. IEEE Transactions on Industrial Informatics, 9(3), 1670–1679. https://doi.org/10.1109/TII.2013.2251891
   Web of Science ®Google Scholar
• He, X., Wang, Z., & Zhou, D. H. (2009). Robust fault detection for networked systems with communication delay and data missing. Automatica, 45(11), 2634–2639. https://doi.org/10.1016/j.automatica.2009.07.020
   Web of Science ®Google Scholar
• Hu, J., Wang, Z., & Gao, H. (2018). Joint state and fault estimation for time-varying nonlinear systems with randomly occurring faults and sensor saturations. Automatica, 97, 150–160. https://doi.org/10.1016/j.automatica.2018.07.027
   Web of Science ®Google Scholar
• Ji, H., Zhang, H., Li, C., Senping, T., Lu, J., & Wei, Y. (2018). H∞ control for time-delay systems with randomly occurring nonlinearities subject to sensor saturations, missing measurements and channel fadings. ISA Transactions, 75, 38–51. https://doi.org/10.1016/j.isatra.2018.02.015
   PubMed Web of Science ®Google Scholar
• Ju, Y., Wei, G., Ding, D., & Liu, S. (2020a). A novel fault detection method under weighted try-once-discard scheduling over sensor networks. IEEE Transactions on Control of Network Systems, 7(3), 1489–1499. https://doi.org/10.1109/TCNS.2020.2980362
   Web of Science ®Google Scholar
• Ju, Y., Wei, G., Ding, D., & Liu, S. (2020b). Finite-time fault tolerant control for stochastic parameter systems with intermittent fault under stochastic communication protocol. International Journal of Robust and Nonlinear Control, 30(15), 6112–6129. https://doi.org/10.1002/rnc.4986
   Web of Science ®Google Scholar
• Karimi, H. R. (2011). Robust synchronization and fault detection of uncertain Master-Slave systems with mixed time-varying delays and nonlinear perturbations. Int. J. Control Autom. Syst.International Journal of Control, Automation, and Systems, 9(4), 671–680. https://doi.org/10.1007/s12555-011-0408-8
   Web of Science ®Google Scholar
• Liang, J., Wang, Z., Hayat, T., & Alsaedi, A. (2016). Distributed H∞ state estimation for stochastic delayed 2-D systems with randomly varying nonlinearities over saturated sensor networks. Information Sciences, 370–371, 708–724. https://doi.org/10.1016/j.ins.2015.11.020
   Web of Science ®Google Scholar
• Liu, Y., Alsaadi, F. E., Yin, X., & Wang, Y. (2015). Robust H∞ filtering for discrete nonlinear delayed stochastic systems with missing measurements and randomly occurring nonlinearities. International Journal of General Systems, 44(2), 169–181. https://doi.org/10.1080/03081079.2014.973730
   Web of Science ®Google Scholar
• Luo, Y., Wang, Z., Wei, G., & Alsaadi, F. E. (2017). H∞ fuzzy fault detection for uncertain 2-D systems under round-robin scheduling protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 2172–2184. https://doi.org/10.1109/TSMC.2016.2632043
   Web of Science ®Google Scholar
• Ma, L., Wang, Z., Lam, H. K., & Kyriakoulis, N. (2017). Distributed event-based set-membership filtering for a class of nonlinear systems with sensor saturations over sensor networks. IEEE Transactions on Cybernetics, 47(11), 3772–3783. https://doi.org/10.1109/TCYB.2016.2582081
   PubMed Web of Science ®Google Scholar
• Mhaskar, P., McFall, C., & Gani, A. (2008). Isolation and handling of actuator faults in nonlinear systems. Automatica, 44(1), 53–62. https://doi.org/10.1016/j.automatica.2007.05.006
   Web of Science ®Google Scholar
• Niu, Y., D. W. C. Ho, & Li, C. W. (2011). H∞ filtering for uncertain stochastic systems subject to sensor nonlinearities. International Journal of Systems Science, 42(5), 737–749. https://doi.org/10.1080/00207721003706894
   Web of Science ®Google Scholar
• Reppa, V., Polycarpou, M., & Panayiotou, G. (2014). Adaptive approximation for multiple sensor fault detection and isolation of nonlinear uncertain systems. IEEE Transactions on Neural Networks and Learning Systems, 25(1), 137–153. https://doi.org/10.1109/TNNLS.5962385 doi: 10.1109/TNNLS.2013.2250301
   PubMed Web of Science ®Google Scholar
• Roger, A. H., & Charles, R. J. (2013). Matrix analysis. Cambridge University Press.
   Google Scholar
• Shen, B., Wang, Z., & Hung, Y. S. (2010). Distributed H∞-consensus filtering in sensor networks with multiple missing measurements: The finite-horizon case. Automatica, 46(10), 1682–1688. https://doi.org/10.1016/j.automatica.2010.06.025
   Web of Science ®Google Scholar
• Wang, Z., Dong, H., Shen, B., & Gao, H. (2013). Finite-horizon H∞ filtering with missing measurements and quantization effects. IEEE Transactions on Automatic Control, 58(7), 1707–1718. https://doi.org/10.1109/TAC.2013.2241492
   Web of Science ®Google Scholar
• Wang, Z., Shen, B., & Liu, X. (2012). H∞ filtering with randomly occurring sensor saturations and missing measurements. Automatica, 48(3), 556–562. https://doi.org/10.1016/j.automatica.2012.01.008
   Web of Science ®Google Scholar
• Wei, X., Verhaegen, M., & Engelen, T. (2010). Sensor fault detection and isolation for wind turbines based on subspace identification and Kalman filter techniques. International Journal of Adaptive Control and Signal Processing, 24(8), 687–707. https://doi.org/10.1002/acs.1162
   Web of Science ®Google Scholar
• Yang, F., & Li, Y (2009). Set-membership filtering for systems with sensor saturation. Automatica, 45(8), 1896–1902. https://doi.org/10.1016/j.automatica.2009.04.011
   Web of Science ®Google Scholar
• You, J., Yin, S., & Yu, Z. (2014). Robust estimation for discrete time-delay Markov jump systems with sensor non-linearity and missing measurements. IET Control Theory & Applications, 8(5), 330–337. https://doi.org/10.1049/iet-cta.2013.0577
   Web of Science ®Google Scholar
• Zhai, D., Xi, C., An, L., Dong, J., & Zhang, Q. (2017). Prescribed performance switched adaptive dynamic surface control of switched nonlinear systems with average dwell time. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(7), 1257–1269. https://doi.org/10.1109/TSMC.2016.2571338
   Web of Science ®Google Scholar
• Zhang, D., Song, H., & Yu, L. (2017). Robust fuzzy-model-based filtering for nonlinear cyber-physical systems with multiple stochastic incomplete measurements. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(8), 1826–1838. https://doi.org/10.1109/TSMC.2016.2551200
   Web of Science ®Google Scholar
• Zhao, H., Zhang, C., & Xing, G. (2012). H∞ filtering and smoothing for linear discrete time-varying descriptor systems with unknown inputs. IET Control Theory & Applications, 6(5), 734–743. https://doi.org/10.1049/iet-cta.2010.0565
   Web of Science ®Google Scholar
• Zhong, M., Ding, S. X., & Ding, E. L. (2010). Optimal fault detection for linear discrete time-varying systems. Automatica, 46(8), 1395–1400. https://doi.org/10.1016/j.automatica.2010.05.022
   Web of Science ®Google Scholar
• Zhong, M., Zhou, D. H., & Ding, S. X. (2010). On designing H∞ fault detection filter for linear discrete time-varying systems. IEEE Transactions on Automatic Control, 55(7), 1689–1695. https://doi.org/10.1109/TAC.2010.2046921
   Web of Science ®Google Scholar