Efficient filtering based on Kullback-Leibler divergence for wireless networked control systems with Markovian packet losses

References

• Anderson, B. D. O., & Moore, J. B. (1979). Optimal filtering. Prentice-Hall.
   Google Scholar
• H. A. P. Blom, & Bar-Shalom, Y. (1988). The interacting multiple model algorithm for systems with markovian switching coefficient. IEEE Transactions on Automatic Control, 33(8), 780–783. https://doi.org/10.1109/9.1299
   Web of Science ®Google Scholar
• Carravetta, F., Germani, A., Liptser, R., & Manes, C. (2002). Filtering of nonlinear stochastic feedback systems. SIAM Journal on Control and Optimization, 40(5), 1576–1584. https://doi.org/10.1137/S0363012998347146
   Web of Science ®Google Scholar
• Chamanian, S., Baghaee, S., Ulusan, H., Zorlu, O., Uysal-Biyikoglu, E., & Kulah, H. (2019). Implementation of energy-neutral operation on vibration energy harvesting WSN. IEEE Sensors Journal, PP(99), 1–1. https://doi.org/10.1109/JSEN.2019.2890902
   Web of Science ®Google Scholar
• Dong, J., & Dong, Z. (2020). Optimal filtering and control for wireless networked closed-loop control systems. International Journal of Adaptive Control and Signal Processing, 34(10), 1466–1482. https://doi.org/10.1002/acs.v34.10
   Web of Science ®Google Scholar
• Dong, J., Dong, Z., & Guo, W. (2021). Event-based efficient filtering for wireless network control systems with user datagram protocol. International Journal of Control, 94(11), 2980–2991. https://doi.org/10.1080/00207179.2020.1747644
   Web of Science ®Google Scholar
• Hu, T., & Lin, Z. (2001). Control systems with actuator saturation: Analysis and design. Birkhauser.
   Google Scholar
• Huang, M., & Dey, S. (2007). Stability of Kalman filtering with Markovian packet losses. Automatica, 43(4), 598–607. https://doi.org/10.1016/j.automatica.2006.10.023
   Web of Science ®Google Scholar
• Hwang, I., Seah, C. E., & Lee, S. (2017). A study on stability of the interacting multiple model algorithm. IEEE Transactions on Automatic Control, 62(2), 901–906. https://doi.org/10.1109/TAC.2016.2558156
   Web of Science ®Google Scholar
• Kullback, S. (1997). Information theory and statistics. Courier Corporation.
   Google Scholar
• Li, F., Shi, P., Wang, X., & Agarwal, R. (2015). Fault detection for networked control systems with quantization and markovian packet dropouts. Signal Processing, 111(June), 106–112. https://doi.org/10.1016/j.sigpro.2014.12.014
   Web of Science ®Google Scholar
• Li, J., Su, H., Wu, Z., & Chu, J. (2013). Modelling and control of Zigbee-based wireless networked control system with both network-induced delay and packet dropout. International Journal of Systems Science, 44(6), 1160–1172. https://doi.org/10.1080/00207721.2012.658883
   Web of Science ®Google Scholar
• Lin, H., Lam, J., Chen, M. Z. Q., Shu, Z., Lu, R., & Wu, Z. G. (2019). Interacting multiple model estimator for networked control systems: Stability, convergence, and performance. IEEE Transactions on Automatic Control, 64(3), 928–943. https://doi.org/10.1109/TAC.2018.2831620
   Web of Science ®Google Scholar
• Lin, H., Su, H., Chen, M. Z. Q., Shu, Z., Lu, R., & Wu, Z. G. (2018). On stability and convergence of optimal estimation for networked control systems with dual packet losses without acknowledgment. Automatica, 90, 81–90. https://doi.org/10.1016/j.automatica.2017.12.059
   Web of Science ®Google Scholar
• Lin, H., Su, H., Shi, P., Lu, R., & Wu, Z. G. (2015). LQG control for networked control systems over packet drop links without packet acknowledgment. Journal of the Franklin Institute, 352(11), 5042–5060. https://doi.org/10.1016/j.jfranklin.2015.08.010
   Web of Science ®Google Scholar
• Lin, H., Su, H., Shi, P., Shu, Z., Lu, R., & Wu, Z. G. (2017). Optimal estimation and control for lossy network: Stability, convergence, and performance. IEEE Transactions on Automatic Control, 62(9), 4564–4579. https://doi.org/10.1109/TAC.2017.2672729
   Web of Science ®Google Scholar
• Lin, H., Su, H., Shu, Z., Wu, Z. G., & Xu, Y. (2016). Optimal estimation in UDP-like networked control systems with intermittent inputs: Stability analysis and suboptimal filter design. IEEE Transactions on Automatic Control, 61(7), 1794–1809. https://doi.org/10.1109/TAC.2015.2479195
   Web of Science ®Google Scholar
• Ma, G., Liu, X., & Pagilla, P. R. (2019). Robust repetitive control of semi-markovian jump systems. International Journal of Systems Science, 50(1), 116–129. https://doi.org/10.1080/00207721.2018.1543480
   Web of Science ®Google Scholar
• Mo, Y., Garone, E., & Sinopoli, B. (2013). LQG control with Markovian packet loss. In 2013 European control conference (ECC). IEEE.
   Google Scholar
• Mo, Y., & Sinopoli, B. (2012). Kalman filtering with intermittent observations: Tail distribution and critical value. IEEE Transactions on Automatic Control, 57(3), 677–689. https://doi.org/10.1109/TAC.2011.2166309
   Web of Science ®Google Scholar
• Mohammed, D., Mokhtar, K., Abdelaziz, O., & Abdelkrim, M. (2010). A new IMM algorithm using fixed coefficients filters (fastIMM). AEU – International Journal of Electronics and Communications, 64(12), 1123–1127. https://doi.org/10.1016/j.aeue.2009.11.009
   Web of Science ®Google Scholar
• Okano, K., & Ishii, H. (2013). Stabilization of uncertain systems with finite data rates and Markovian packet losses. In 2013 European control conference (ECC) (pp. 2368–2373). IEEE.
   Google Scholar
• Ploplys, N. J., Kawka, P. A., & Alleyne, A. G. (2004). Closed-loop control over wireless networks: Developing a novel timing scheme for real-time control systems. IEEE Control Systems, 24(3), 58–71. https://doi.org/10.1109/MCS.2004.1299533
   Web of Science ®Google Scholar
• Rohr, E. R., Marelli, D., & Fu, M. (2014). Kalman filtering with intermittent observations: On the boundedness of the expected error covariance. IEEE Transactions on Automatic Control, 59(10), 2724–2738. https://doi.org/10.1109/TAC.2014.2328183
   Web of Science ®Google Scholar
• Sadi, Y., & Ergen, S. C. (2017). Joint optimization of wireless network energy consumption and control system performance in wireless networked control systems. IEEE Transactions on Wireless Communications, 16(4), 2235–2248. https://doi.org/10.1109/TWC.7693
   Web of Science ®Google Scholar
• Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K., & Sastry, S. S. (2007). Foundations of control and estimation over lossy networks. Proceedings of the IEEE, 95(1), 163–187. https://doi.org/10.1109/JPROC.2006.887306
   Web of Science ®Google Scholar
• Sinopoli, B., Schenato, L., Franceschetti, M., Poolla, K., Jordan, M. I., & Sastry, S. S. (2004). Kalman filtering with intermittent observations. IEEE Transactions on Automatic Control, 49(9), 1453–1464. https://doi.org/10.1109/TAC.2004.834121
   Web of Science ®Google Scholar
• Speyer, J. L., & Chung, W. H. (2008). Stochastic processes, estimation, and control (Vol. 17). SIAM.
   Google Scholar
• Tang, B., Naghsh, M. M., & Tang, J. (2015). Relative entropy-based waveform design for MIMO radar detection in the presence of clutter and interference. IEEE Transactions on Signal Processing, 63(14), 3783–3796. https://doi.org/10.1109/TSP.2015.2423257
   Web of Science ®Google Scholar
• Wu, H., & Ye, H. (2013). State estimation for networked systems: An extended IMM algorithm. International Journal of Systems Science, 44(7), 1274–1289. https://doi.org/10.1080/00207721.2012.670311
   Web of Science ®Google Scholar
• Xiong, J., & Lam, J. (2007). Stabilization of linear systems over networks with bounded packet loss. Automatica, 43(1), 80–87. https://doi.org/10.1016/j.automatica.2006.07.017
   Web of Science ®Google Scholar
• You, K., Fu, M., & Xie, L. (2011). Mean square stability for kalman filtering with markovian packet losses. Automatica, 47(12), 2647–2657. https://doi.org/10.1016/j.automatica.2011.09.015
   Web of Science ®Google Scholar