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Articles

Distributed resilient fusion filtering for nonlinear systems with random sensor delay under round-robin protocol

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Pages 2786-2799 | Received 31 Jan 2022, Accepted 01 Apr 2022, Published online: 26 Apr 2022

References

  • Caballero-Águila, R., García-Garrido, L., & Linares-Pérez, J. (2020, February). Distributed fusion estimation from measurements with correlated random parameter matrices and noise correlation. International Journal of Computer Mathematics, 97(1–2), 95–108. https://doi.org/10.1080/00207160.2018.1437264
  • Caballero-Águila, R., Hermoso-Carazo, A., & Linares-Pérez, J. (2019a, October). Centralized, distributed and sequential fusion estimation from uncertain outputs with correlation between sensor noises and signal. International Journal of General Systems, 48(7), 713–737. https://doi.org/10.1080/03081079.2019.1659257
  • Caballero-Águila, R., Hermoso-Carazo, A., & Linares-Pérez, J. (2019b, March). Networked distributed fusion estimation under uncertain outputs with random transmission delays, packet losses and multi-packet processing. Signal Processing, 156, 71–83. https://doi.org/10.1016/j.sigpro.2018.10.012
  • Ding, D., Wang, Z., & Han, Q. (2020, April). 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/10.1109/TAC.9
  • Ding, D., Wang, Z., Han, Q., & Wei, G. (2019, June). Neural-network-based output-feedback control under round-robin scheduling protocols. IEEE Transactions on Cybernetics, 49(6), 2372–2384. https://doi.org/10.1109/TCYB.2018.2827037
  • Ding, D., Wang, Z., Lam, J., & Shen, B. (2015, September). Finite-horizon H∞ control for discrete time-varying systems with randomly occurring nonlinearities and fading measurements. IEEE Transactions on Automatic Control, 60(9), 2488–2491. https://doi.org/10.1109/TAC.2014.2380671
  • Ding, J., Sun, S., Ma, J., & Li, N. (2019, January). Fusion estimation for multi-sensor networked systems with packet loss compensation. Information Fusion, 45, 138–149. https://doi.org/10.1016/j.inffus.2018.01.008
  • Deng, Z., Zhang, P., Qi, W., Gao, Y., & Liu, J. (2013, April). The accuracy comparison of multisensor covariance intersection fuser and three weighting fusers. Information Fusion, 14(2), 177–185. https://doi.org/10.1016/j.inffus.2012.05.005
  • Gao, Z., & Antsaklis, P. J. (1991). Stability of the pseudo-inverse method for reconfigurable control systems. International Journal of Control, 53(3), 717–729. https://doi.org/10.1080/00207179108953643
  • García-Ligero, M. J., Hermoso-Carazo, A., & Linares-Pérez, J. (2012, November). Distributed and centralized fusion estimation from multiple sensors with Markovian delays. Applied Mathematics and Computation, 219(6), 2932–2948. https://doi.org/10.1016/j.amc.2012.09.017
  • Han, F., Ding, D., Yang, F., & Gao, W. (2020, February). Distributed resilient estimation over sensor networks for nonlinear time-delayed systems with stochastic perturbations. International Journal of Robust and Nonlinear Control, 30(3), 843–863. https://doi.org/10.1002/rnc.v30.3
  • Hakdaoui, S., Emran, A., Pradhan, B., & Lee, C. (2019, May). A collaborative change detection approach on multi-sensor spatial imagery for desert wetland monitoring after a flash flood in Southern Morocco. Remote Sensing, 11(9), Article number: 1042. https://doi.org/10.3390/rs11091042
  • Hu, J., Li, J., Kao, Y., & Chen, D. (2022). Optimal distributed filtering for nonlinear saturated systems with random access protocol and missing measurements: The uncertain probabilities case. Applied Mathematics and Computation, 418, Article number: 126844. https://doi.org/10.1016/j.amc.2021.126844
  • Hu, J., Wang, Z., & Liu, G.-P. (2020). Delay compensation-based state estimation for time-varying complex networks with incomplete observations and dynamical bias. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2020.3043283.
  • Hu, J., Zhang, H., Yu, X., Liu, H., & Chen, D. (2021, May). Design of sliding-mode-based control for nonlinear systems with mixeddelays and packet losses under uncertain missing probability. IEEE Transactions on Systems, Man and Cybernetics: Systems, 51(5), 3217–3228. https://doi.org/10.1109/TSMC.2019.2919513
  • Jin, H., & Sun, S. (2022, January). Distributed filtering for sensor networks with fading measurements and compensations for transmission delays and losses. Signal Processing, 190. Article number: 108306. https://doi.org/10.1016/j.sigpro.2021.108306
  • Li, J., Wang, Z., Hu, J., Liu, H., & Yi, X.-J. (2022). Communication-protocol-based distributed filtering for general systems over sensor networks: Developments and challenges. International Journal of General Systems. https://doi.org/10.1080/03081079.2022.2052063.
  • Li, Q., Shen, B., Wang, Z., Huang, T., & Luo, J. (2019, May). Synchronization control for a class of discrete time-delay complex dynamical networks: A dynamic event-triggered approach. IEEE Transactions on Cybernetics, 49(5), 1979–1986. https://doi.org/10.1109/TCYB.6221036
  • Li, Q., Shen, B., Wang, Z., & Sheng, W. (2020, March). Recursive distributed filtering over sensor networks on Gilbert-Elliott channels: A dynamic event-triggered approach. Automatica, 113(4), Article number: 108681. https://doi.org/10.1016/j.automatica.2019.108681
  • Li, S., Chen, Y., & Zhan, J. (2021, October). Event-triggered consensus control and fault estimation for time-delayed multi-agent systems with Markov switching topologies. Neurocomputing, 460, 292–308. https://doi.org/10.1016/j.neucom.2021.07.027
  • Li, X., & Gao, H. (2011, September). A new model transformation of discrete-time systems with time-varying delay and its application to stability analysis. IEEE Transactions on Automatic Control, 56(9), 2172–2178. https://doi.org/10.1109/TAC.2011.2146850
  • Liu, Q., Wang, Z., He, X., Ghinea, G., & Alsaadi, F. E. (2017, March). A resilient approach to distributed filter design for time-varying systems under stochastic nonlinearities and sensor degradation. IEEE Transactions on Signal Processing, 65(5), 1300–1309. https://doi.org/10.1109/TSP.2016.2634541
  • Liu, Q., Wang, Z., He, X., & Zhou, D. (2018, August). Event-triggered resilient filtering with measurement quantization and random sensor failures: Monotonicity and convergence. Automatica, 94, 458–464. https://doi.org/10.1016/j.automatica.2018.03.031
  • Liu, S., Wang, Z., Hu, J., & Wei, G. (2020, December). Protocol-based extended Kalman filtering with quantization effects: The round-robin case. International Journal of Robust and Nonlinear Control, 30(18), 7927–7946. https://doi.org/10.1002/rnc.v30.18
  • Luo, Y., Wang, Z., Chen, Y., & Yi, X. (2021, April–June). H∞ state estimation for coupled stochastic complex networks with periodical communication protocol and intermittent nonlinearity switching. IEEE Transactions on Network Science and Engineering, 8(2), 1414–1425. https://doi.org/10.1109/TNSE.2021.3058220
  • Ma, J., & Sun, S. (2017, January). Distributed fusion filter for networked stochastic uncertain systems with transmission delays and packet dropouts. Signal Processing, 130, 268–278. https://doi.org/10.1016/j.sigpro.2016.07.004
  • Noack, B., Sijs, J., Reinhardt, M., & Hanebeck, U. D. (2017, May). Decentralized data fusion with inverse covariance intersection. Automatica, 79(5), 35–41. https://doi.org/10.1016/j.automatica.2017.01.019
  • Orihuela, L., Gómez-Estern, F., & Rodríguez Rubio, F. (2013, March). Scheduled communication in sensor networks. IEEE Transactions on Control Systems Technology, 22(2), 801–808. https://doi.org/10.1109/TCST.2013.2262999
  • Qian, W., Guo, S., Zhao, Y., & Fei, S. (2022, February). Distributed resilient state estimation over sensor networks with random nonlinearities, fading measurements, and stochastic gain variations. International Journal of Robust and Nonlinear Control, 32(3), 1510–1525. https://doi.org/10.1002/rnc.v32.3
  • Qian, W., Guo, S., Zhao, Y., Xu, X., & Fei, S. (2021, February). Distributed resilient state estimation for nonlinear systems with randomly occurring communication delays and missing measurements. International Journal of Adaptive Control and Signal Processing, 36(2), 315–333. https://doi.org/10.1002/acs.v36.2
  • Qiu, S., Zhao, H., Jiang, N., Wang, Z., Liu, L., An, Y., Zhao, H., Miao, X., Liu, R., & Fortino, G. (2022, April). Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges. Information Fusion, 80, 241–265. https://doi.org/10.1016/j.inffus.2021.11.006
  • Ran, C., & Deng, Z. (2020a, September). Robust fusion Kalman estimators for networked mixed uncertain systems with random one-step measurement delays, missing measurements, multiplicative noises and uncertain noise variances. Information Sciences, 534, 27–52. https://doi.org/10.1016/j.ins.2020.04.044
  • Ran, C., & Deng, Z. (2020b, October). Robust centralized and integrated covariance intersection fusion Kalman estimators for networked mixed-uncertain systems. International Journal of Robust and Nonlinear Control, 30(15), 6298–6329. https://doi.org/10.1002/rnc.v30.15
  • Sun, S. (2020, November). Distributed optimal linear fusion estimators. Information Fusion, 63(7), 56–73. https://doi.org/10.1016/j.inffus.2020.05.006
  • Sun, S., & Deng, Z. (2004, June). Multi-sensor optimal information fusion Kalman filter. Automatica, 40(6), 1017–1023. https://doi.org/10.1016/j.automatica.2004.01.014
  • Shen, B., Wang, Z., Wang, D., & Li, Q. (2020, October). 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
  • Shen, B., Wang, Z., Wang, D., & Liu, H. (2020, August). Distributed state-saturated recursive filtering over sensor networks under round-robin protocol. IEEE Transactions on Cybernetics, 50(8), 3605–3615. https://doi.org/10.1109/TCYB.6221036
  • Shen, B., Wang, Z., Wang, D., Luo, J., Pu, H., & Peng, Y. (2019, February). Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor. Automatica, 100(9), 144–152. https://doi.org/10.1016/j.automatica.2018.11.010
  • Shen, Y., Wang, Z., Shen, B., & Alsaadi, F. E. (2020, May). Nonfragile H∞ filtering for discrete multirate time-delayed systems over sensor networks characterized by Gilbert-Elliott models. International Journal of Robust and Nonlinear Control, 30(8), 3194–3214. https://doi.org/10.1002/rnc.v30.8
  • Song, J., Wang, Y., Niu, Y., Lam, H.-K., He, S., & Liu, H. (2022). Periodic event-triggered terminal sliding mode speed control for networked PMSM system: A GA-optimized extended state observer approach. IEEE Transactions on Mechatronics. https://doi.org/10.1109/TMECH.2022.3148541.
  • Song, J., Zheng, W., & Niu, Y. (2022, January). Self-triggered sliding mode control for networked PMSM speed regulation system: A PSO-optimized super-twisting algorithm. IEEE Transactions on Industrial Electronics, 69(1), 763–773. https://doi.org/10.1109/TIE.2021.3050348
  • Wan, X., Li, Y., Li, Y., & Wu, M. (2022, January). Finite-time H∞ state estimation for two-time-scale complex networks under stochastic communication protocol. IEEE Transactions on Neural Networks and Learning Systems, 33(1), 25–36. https://doi.org/10.1109/TNNLS.2020.3027467
  • Wang, Y., Xie, L., & de Souza, C. E. (1992). Robust control of a class of uncertain nonlinear systems. Systems and Control Letters, 19(2), 139–149. https://doi.org/10.1016/0167-6911(92)90097-C
  • Yan, L., Di, C., Wu, Q. M. J., & Xia, Y. (2022, January). Sequential fusion for multirate multisensor systems with heavy-tailed noises and unreliable measurements. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 52(1), 523–532. https://doi.org/10.1109/TSMC.2020.3003645
  • Yang, P., Duan, D., Chen, C., Cheng, X., & Yang, L. (2020, December). Multi-sensor multi-vehicle (MSMV) localization and mobility tracking for autonomous driving. IEEE Transactions on Vehicular Technology, 69(12), 14355–14364. https://doi.org/10.1109/TVT.25
  • Yuan, H., Xia, Y., & Yang, H. (2021, November). Resilient state estimation of cyber-physical system with multichannel transmission under DoS attack. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(11), 6926–6937. https://doi.org/10.1109/TSMC.2020.2964586
  • Zhang, M., Shen, C., Wu, Z., & Zhang, D. (2020, May). Dissipative filtering for switched fuzzy systems with missing measurements. IEEE Transactions on Cybernetics, 50(5), 1931–1940. https://doi.org/10.1109/TCYB.6221036
  • Zhang, Y., Xu, G., & Shan, G. (2022, January). Sensor cooperative scheduling method for low-altitude maneuvering target tracking in complex environment. Sensor Review, 42(1), 133–144. https://doi.org/10.1108/SR-04-2021-0112
  • Zou, L., Wang, Z., Han, Q., & Yue, D. (2021, October). Tracking control under round-robin scheduling: Handling impulsive transmission outliers. IEEE Transactions on Cybernetics. https://doi.org/10.1109/TCYB.2021.3115459.
  • Zou, L., Wang, Z., Han, Q., & Zhou, D. (2021, May). Moving horizon estimation of networked nonlinear systems with random access protocol. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 51(5), 2937–2948. https://doi.org/10.1109/TSMC.2019.2918002
  • Zou, L., Wang, Z., Hu, J., & Dong, H. (2022, January). Partial-node-based state estimation for delayed complex networks under intermittent measurement outliers: A multiple-order-holder approach. IEEE Transactions on Neural Networks and Learning Systems. https://doi.org/10.1109/TNNLS.2021.3138979.
  • Zou, L., Wang, Z., Hu, J., & Gao, H. (2017, September). On H∞ finite-horizon filtering under stochastic protocol: Dealing with high-rate communication networks. IEEE Transactions on Automatic Control, 62(9), 4884–4890. https://doi.org/10.1109/TAC.2017.2691310

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