Citation: | J. Hu, J. Li, C. Jia, X. Yi, and H. Liu, “A recursive method to encryption-decryption-based distributed set-membership filtering for time-varying saturated systems over sensor networks,” IEEE/CAA J. Autom. Sinica, vol. 12, no. 5, pp. 1–3, May 2025. |
[1] |
X. Ge, Q.-L. Han, M. Zhong, and X.-M. Zhang, “Distributed Krein space-based attack detection over sensor networks under deception attacks,” Automatica, vol. 109, p. 108557, Nov. 2019. doi: 10.1016/j.automatica.2019.108557
|
[2] |
F. Yao, Y. Ding, S. Hong, and S.-H. Yang, “A survey on evolved LoRa-based communication technologies for emerging internet of things applications,” Int. J. Network Dynamics and Intelligence, vol. 1, no. 1, pp. 4–19, Dec. 2022.
|
[3] |
F. Qu, X. Zhao, X. Wang, and E. Tian, “Probabilistic-constrained distributed fusion filtering for a class of time-varying systems over sensor networks: A torus-event-triggering mechanism,” Int. J. Systems Science, vol. 53, no. 6, pp. 1288–1297, Apr. 2022. doi: 10.1080/00207721.2021.1998721
|
[4] |
X. Ge, Q.-L. Han, and Z. Wang, “A threshold-parameter-dependent approach to designing distributed event-triggered H∞ consensus filters over sensor networks,” IEEE Trans. Cybern., vol. 49, no. 4, pp. 1148–1159, Apr. 2019. doi: 10.1109/TCYB.2017.2789296
|
[5] |
H. Rezaei and M. Ghorbani, “Event-triggered resilient distributed extended Kalman filter with consensus on estimation,” Int. J. Robust and Nonlinear Control, vol. 32, no. 3, pp. 1303–1315, Feb. 2022. doi: 10.1002/rnc.5881
|
[6] |
D. Ding, Z. Wang, and Q.-L. Han, “A set-membership approach to event-triggered filtering for general nonlinear systems over sensor networks,” IEEE Trans. Autom Control, vol. 65, no. 4, pp. 1792–1799, Apr. 2020. doi: 10.1109/TAC.2019.2934389
|
[7] |
Y.-A. Wang, B. Shen, and L. Zou, “Recursive fault estimation with energy harvesting sensors and uniform quantization effects,” IEEE/CAA J Autom Sinica, vol. 9, no. 5, pp. 926–929, May 2022. doi: 10.1109/JAS.2022.105572
|
[8] |
L. Zou, Z. Wang, H. Geng, and X. Liu, “Set-membership filtering subject to impulsive measurement outliers: A recursive algorithm,” IEEE/CAA J Autom Sinica, vol. 8, no. 2, pp. 377–388, 2021. doi: 10.1109/JAS.2021.1003826
|
[9] |
B. Shen, Z. Wang, D. Wang, and Q. Li, “State-saturated recursive filter design for stochastic time-varying nonlinear complex networks under deception attacks,” IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 10, pp. 3788–3800, Oct. 2020. doi: 10.1109/TNNLS.2019.2946290
|
[10] |
K. Liu, E. Fridman, and K. H. Johansson, “Dynamic quantization of uncertain linear networked control systems,” Automatica, vol. 59, pp. 248–255, Sept. 2015. doi: 10.1016/j.automatica.2015.06.041
|
[11] |
Y. Mo and R. M. Murray, “Privacy preserving average consensus,” IEEE Trans. Autom. Control, vol. 62, no. 2, pp. 753–765, Feb. 2017. doi: 10.1109/TAC.2016.2564339
|
[12] |
C. Gao, Z. Wang, X. He, and H. Dong, “Encryption-decryption-based consensus control for multi-agent systems: Handling actuator faults,” Autom, vol. 134, p. 109908, Dec. 2021. doi: 10.1016/j.automatica.2021.109908
|
[13] |
C. Wen, Z. Wang, T. Geng, and F. E. Alsaadi, “Event-based distributed recursive filtering for state-saturated systems with redundant channels,” Information Fusion, vol. 39, pp. 96–107, Jan. 2018. doi: 10.1016/j.inffus.2017.04.004
|
[14] |
X. Chen and Y. Jia, “Indoor localization for mobile robots using lampshade corners as landmarks: Visual system calibration, feature extraction and experiments,” Int. J. Control,Automation and Systems, vol. 12, no. 6, pp. 1313–1322, Dec. 2014. doi: 10.1007/s12555-013-0076-y
|