Distributed recursive fault estimation with binary encoding schemes over sensor networks

References

• Alippi, C., & Galperti, C. (2008). An adaptive system for optimal solar energy harvesting in wireless sensor network nodes. IEEE Transactions on Circuits and Systems-I: Regular Papers, 55(6), 1742–1750. https://doi.org/10.1109/TCSI.2008.922023
   Web of Science ®Google Scholar
• Aysal, T. C., Coates, M., & Rabbat, M. (2007). Distributed average consensus using probabilistic quantization. In 2007 IEEE/SP 14th Workshop on Statistical Signal Processing (pp. 640–644). IEEE
   Google Scholar
• Battilotti, S., & Mekhail, M. (2019). Distributed estimation for nonlinear systems. Automatica, 107(9), 562–573. https://doi.org/10.1016/j.automatica.2019.06.024
   Google Scholar
• Caballero-Águila, R., Hermoso-Carazo, A., & Linares-Pérez, J. (2017). New distributed fusion filtering algorithm based on covariances over sensor networks with random packet dropouts. International Journal of Systems Science, 48(9), 1805–1817. https://doi.org/10.1080/00207721.2017.1289568
   Web of Science ®Google Scholar
• Cao, L., Ren, H., Li, H., & Lu, R. (2021). Event-triggered output-feedback control for large-scale systems with unknown hysteresis. IEEE Transactions on Cybernetics, 51(11), 5236–5247. https://doi.org/10.1109/TCYB.2020.2997943
   PubMed Web of Science ®Google Scholar
• Chen, H., & Jiang, B. (2020). A review of fault detection and diagnosis for the traction system in high-speed trains. IEEE Transactions on Intelligent Transportation Systems, 21(2), 450–465. https://doi.org/10.1109/TITS.6979
   Web of Science ®Google Scholar
• Chen, Y., Chen, Z., Chen, Z., & Xue, A. (2020). Observer-based passive control of non-homogeneous Markov jump systems with random communication delays. International Journal of Systems Science, 51(6), 1133–1147. https://doi.org/10.1080/00207721.2020.1752844
   Web of Science ®Google Scholar
• Cong, G., Han, F., Li, J., & Dai, D. (2021). Event-triggered distributed filtering for discrete-time systems with integral measurements. Systems Science & Control Engineering, 9(1), 272–282. https://doi.org/10.1080/21642583.2021.1901157
   Web of Science ®Google Scholar
• Ding, D., Wang, Z., Dong, H., & Shu, H. (2012). Distributed H∞ state estimation with stochastic parameters and nonlinearities through sensor networks: The finite-horizon case. Automatica, 48(8), 1575–1585. https://doi.org/10.1016/j.automatica.2012.05.070
   Web of Science ®Google Scholar
• Ding, D., Wang, Z., Ho, D. W. C., & Wei, G. (2017). Distributed recursive filtering for stochastic systems under uniform quantizations and deception attacks through sensor networks. Automatica, 78(1), 231–240. https://doi.org/10.1016/j.automatica.2016.12.026
   Web of Science ®Google Scholar
• Dong, H., Wang, Z., & Gao, H. (2013). Distributed H∞ filtering for a class of Markovian jump nonlinear time-delay systems over lossy sensor networks. IEEE Transactions on Industrial Electronics, 60(10), 4665–4672. https://doi.org/10.1109/TIE.2012.2213553
   Web of Science ®Google Scholar
• Gao, H., Dong, H., Wang, Z., & Han, F. (2020). An event-triggering approach to recursive filtering for complex networks with state saturations and random coupling strengths. IEEE Transactions on Neural Networks and Learning Systems, 31(10), 4279–4289. https://doi.org/10.1109/TNNLS.5962385
   PubMed Web of Science ®Google Scholar
• Gao, M., Yang, S., Sheng, L., & Zhou, D. (2019). Fault diagnosis for time-varying systems with multiplicative noises over sensor networks subject to Round-Robin protocol. Neurocomputing, 346(5), 65–72. https://doi.org/10.1016/j.neucom.2018.08.087
   Google Scholar
• Ge, X., Han, Q.-L., & Wang, Z. (2019a). A dynamic event-triggered transmission scheme for distributed set-membership estimation over wireless sensor networks. IEEE Transactions on Cybernetics, 49(1), 171–183. https://doi.org/10.1109/TCYB.2017.2769722
   PubMed Web of Science ®Google Scholar
• Ge, X., Han, Q.-L., & Wang, Z. (2019b). A threshold-parameter-dependent approach to designing distributed event-triggered H∞ consensus filters over sensor networks. IEEE Transactions on Cybernetics, 49(4), 1148–1159. https://doi.org/10.1109/TCYB.6221036
   PubMed Web of Science ®Google Scholar
• Geng, H., Liu, H., Ma, L., & Yi, X. (2021). Multi-sensor filtering fusion meets censored measurements under a constrained network environment: Advances, challenges and prospects. International Journal of Systems Science, 52(16), 3410–3436. https://doi.org/10.1080/00207721.2021.2005178
   Web of Science ®Google Scholar
• Gungor, V. C., Liu, B., & Hancke, G. P. (2010). Opportunities and challenges of wireless sensor networks in smart grid. IEEE Transactions on Industrial Electronics, 57(10), 3557–3564. https://doi.org/10.1109/TIE.2009.2039455
   Web of Science ®Google Scholar
• Hou, N., Wang, Z., Ho, D. W. C., & Dong, H. (2020). Robust partial-nodes-based state estimation for complex networks under deception attacks. IEEE Transactions on Cybernetics, 50(6), 2793–2802. https://doi.org/10.1109/TCYB.6221036
   PubMed 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(7), 150–160. https://doi.org/10.1016/j.automatica.2018.07.027
   Web of Science ®Google Scholar
• Hu, J., Wang, Z., Liu, G.-P., Jia, C., & Williams, J. (2020). Event-triggered recursive state estimation for dynamical networks under randomly switching topologies and multiple missing measurements. Automatica, 115, 108908-1–108908-13. https://doi.org/10.1016/j.automatica.2020.108908
   Web of Science ®Google Scholar
• Hu, S., Yue, D., Han, Q.-L., Xie, X., Chen, X., & Dou, C. (2020). Observer-based event-triggered control for networked linear systems subject to denial-of-service attacks. IEEE Transactions on Cybernetics, 50(5), 1952–1964. https://doi.org/10.1109/TCYB.6221036
   PubMed Web of Science ®Google Scholar
• Jia, X.-C. (2021). Resource-efficient and secure distributed state estimation over wireless sensor networks: A survey. International Journal of Systems Science, 52(16), 3368–3389. https://doi.org/10.1080/00207721.2021.1998843
   Web of Science ®Google Scholar
• Leung, H., Seneviratne, C., & Xu, M. (2015). A novel statistical model for distributed estimation in wireless sensor networks. IEEE Transactions on Signal Processing, 63(12), 3154–3164. https://doi.org/10.1109/TSP.2015.2420536
   Web of Science ®Google Scholar
• Li, J., Dong, H., Wang, Z., & Bu, X. (2020). Partial-neurons-based passivity-guaranteed state estimation for neural networks with randomly occurring time-delays. IEEE Transactions on Neural Networks and Learning Systems, 31(9), 3747–3753. https://doi.org/10.1109/TNNLS.5962385
   PubMed Web of Science ®Google Scholar
• Li, J., Ma, Y., & Fu, L. (2019). Fault-tolerant passive synchronization for complex dynamical networks with Markovian jump based on sampled-data control. Neurocomputing, 350(6684), 20–32. https://doi.org/10.1016/j.neucom.2019.03.059
   Web of Science ®Google Scholar
• Li, Q., & Liang, J. (2020). Dissipativity of the stochastic Markovian switching CVNNs with randomly occurring uncertainties and general uncertain transition rates. International Journal of Systems Science, 51(6), 1102–1118. https://doi.org/10.1080/00207721.2020.1752418
   Web of Science ®Google Scholar
• Li, X., Han, F., Hou, N., Dong, H., & Liu, H. (2020). Set-membership filtering for piecewise linear systems with censored measurements under Round-Robin protocol. International Journal of Systems Science, 51(9), 1578–1588. https://doi.org/10.1080/00207721.2020.1768453
   Web of Science ®Google Scholar
• Li, X.-J., & Yang, G.-H. (2017). Adaptive fault-tolerant synchronization control of a class of complex dynamical networks with general input distribution matrices and actuator faults. IEEE Transactions on Neural Networks and Learning Systems, 28(3), 559–569. https://doi.org/10.1109/TNNLS.2015.2507183
   PubMed Web of Science ®Google Scholar
• Li, Y., Sun, K., & Tong, S. (2019). Observer-based adaptive fuzzy fault-tolerant optimal control for SISO nonlinear systems. IEEE Transactions on Cybernetics, 49(2), 649–661. https://doi.org/10.1109/TCYB.2017.2785801
   PubMed Web of Science ®Google Scholar
• Lin, H., & Sun, S. (2019). Globally optimal sequential and distributed fusion state estimation for multi-sensor systems with cross-correlated noises. Automatica, 101(3), 128–137. https://doi.org/10.1016/j.automatica.2018.11.043
   Google Scholar
• Liu, L., Liu, Y.-J., & Tong, S. (2019). Neural networks-based adaptive finite-time fault-tolerant control for a class of strict-feedback switched nonlinear systems. IEEE Transactions on Cybernetics, 49(7), 2536–2545. https://doi.org/10.1109/TCYB.6221036
   PubMed Web of Science ®Google Scholar
• Liu, L., Ma, L., Zhang, J., & Bo, Y. (2021). Distributed non-fragile set-membership filtering for nonlinear systems under fading channels and bias injection attacks. International Journal of Systems Science, 52(6), 1192–1205. https://doi.org/10.1080/00207721.2021.1872118
   Web of Science ®Google Scholar
• Liu, Q., & Wang, Z. (2021). Moving-horizon estimation for linear dynamic networks with binary encoding schemes. IEEE Transactions on Automatic Control, 66(4), 1763–1770. https://doi.org/10.1109/TAC.2020.2996579
   Web of Science ®Google Scholar
• Liu, Q., Wang, Z., He, X., & Zhou, D. H. (2015). Event-based recursive distributed filtering over wireless sensor networks. IEEE Transactions on Automatic Control, 60(9), 2470–2475. https://doi.org/10.1109/TAC.2015.2390554
   Web of Science ®Google Scholar
• Liu, Y., Wang, Z., & Zhou, D. (2021). Resilient actuator fault estimation for discrete-time complex networks: A distributed approach. IEEE Transactions on Automatic Control, 66(9), 4214–4221. https://doi.org/10.1109/TAC.2020.3033710
   Web of Science ®Google Scholar
• Mao, J., Sun, Y., Yi, X., Liu, H., & Ding, D. (2021). Recursive filtering of networked nonlinear systems: A survey. International Journal of Systems Science, 52(6), 1110–1128. https://doi.org/10.1080/00207721.2020.1868615
   Web of Science ®Google Scholar
• Morrow, R. K., & Lehnert, J. S. (1989). Bit-to-bit error dependence in slotted DS/SSMA packet systems with random signature sequences. IEEE Transactions on Communications, 37(10), 1052–1061. https://doi.org/10.1109/26.41160
   Web of Science ®Google Scholar
• Selvaraj, P., Sakthivel, R., & Kwon, O. M. (2018). Synchronization of fractional-order complex dynamical network with random coupling delay, actuator faults and saturation. Nonlinear Dynamics, 94(4), 3101–3116. https://doi.org/10.1007/s11071-018-4516-3
   Web of Science ®Google Scholar
• Shen, B., Wang, Z., Wang, D., & Li, Q. (2020). State-saturated recursive filter design for stochastic time-varying nonlinear complex networks under deception attacks. IEEE Transactions on Neural Networks and Learning Systems, 31(10), 3788–3800. https://doi.org/10.1109/TNNLS.5962385
   PubMed Web of Science ®Google Scholar
• Shen, Y., Wang, Z., Shen, B., & Dong, H. (2021). Outlier-resistant recursive filtering for multi-sensor multi-rate networked systems under weighted Try-Once-Discard protocol. IEEE Transactions on Cybernetics, 51(10), 4897–4908. https://doi.org/10.1109/TCYB.2020.3021194
   PubMed Web of Science ®Google Scholar
• Song, B., Qi, G., & Xu, L. (2020). A new approach to open-circuit fault diagnosis of MMC sub-module. Systems Science & Control Engineering, 8(1), 119–127. https://doi.org/10.1080/21642583.2020.1731005
   Web of Science ®Google Scholar
• Wang, M., Wang, Z., Dong, H., & Han, Q.-L. (2021). A novel framework for backstepping-based control of discrete-time strict-feedback nonlinear systems with multiplicative noises. IEEE Transactions on Automatic Control, 66(4), 1484–1496. https://doi.org/10.1109/TAC.2020.2995576
   Web of Science ®Google Scholar
• Wang, Z., Wang, L., Liu, S., & Wei, G. (2018). Encoding-decoding-based control and filtering of networked systems: Insights, developments and opportunities. IEEE/CAA Journal of Automatica Sinica, 5(1), 3–18. https://doi.org/10.1109/JAS.2017.7510727
   Google Scholar
• Wen, P., Hou, N., Shen, Y., Li, J., & Zhang, Y. (2021). Observer-based H∞ PID control for discrete-time systems under hybrid cyber attacks. Systems Science & Control Engineering, 9(1), 232–242. https://doi.org/10.1080/21642583.2021.1895004
   Web of Science ®Google Scholar
• Xu, W., Hu, G., Ho, D. W. C., & Feng, Z. (2020). Distributed secure cooperative control under denial-of-service attacks from multiple adversaries. IEEE Transactions on Cybernetics, 50(8), 3458–3467. https://doi.org/10.1109/TCYB.6221036
   PubMed Web of Science ®Google Scholar
• Ye, D., Yang, X., & Su, L. (2017). Fault-tolerant synchronization control for complex dynamical networks with semi-Markov jump topology. Applied Mathematics and Computation, 312(6), 36–48. https://doi.org/10.1016/j.amc.2017.05.008
   Google Scholar
• Zhang, D., Cai, W., Xie, L., & Wang, Q. (2015). Nonfragile distributed filtering for T-S fuzzy systems in sensor networks. IEEE Transactions on Fuzzy Systems, 23(5), 1883–1890. https://doi.org/10.1109/TFUZZ.2014.2367101
   Web of Science ®Google Scholar
• Zhang, X.-M., Han, Q.-L., & Zhang, B.-L. (2017). An overview and deep investigation on sampled-data-based event-triggered control and filtering for networked systems. IEEE Transactions on Industrial Informatics, 13(1), 4–16. https://doi.org/10.1109/TII.2016.2607150
   Web of Science ®Google Scholar
• Zhao, J. (2018). Dynamic state estimation with model uncertainties using H∞ extended Kalman filter. IEEE Transactions on Power Systems, 33(1), 1099–1100. https://doi.org/10.1109/TPWRS.2017.2688131
   Web of Science ®Google Scholar
• Zhao, Z., Wang, Z., Zou, L., & Guo, J. (2020). Set-membership filtering for time-varying complex networks with uniform quantisations over randomly delayed redundant channels. International Journal of Systems Science, 51(16), 3364–3377. https://doi.org/10.1080/00207721.2020.1814898
   Web of Science ®Google Scholar
• Zhu, Y., Zhang, L., & Zheng, W. (2016). Distributed H∞ filtering for a class of discrete-time Markov jump Lur'e systems with redundant channels. IEEE Transactions on Industrial Electronics, 63(3), 1876–1885. https://doi.org/10.1109/TIE.2015.2499169
   Web of Science ®Google Scholar
• Zou, L., Wang, Z., Hu, J., Liu, Y., & Liu, X. (2021). Communication-protocol-based analysis and synthesis of networked systems: Progress, prospects and challenges. International Journal of Systems Science, 52(14), 3013–3034. https://doi.org/10.1080/00207721.2021.1917721
   Web of Science ®Google Scholar
• Zou, L., Wang, Z., Hu, J., & Zhou, D. H. (2020). Moving horizon estimation with unknown inputs under dynamic quantization effects. IEEE Transactions on Automatic Control, 65(12), 5368–5375. https://doi.org/10.1109/TAC.9
   Web of Science ®Google Scholar