[1] | A. Onat, T. Naskali, E. Parlakay, O. Mutluer. Control over imperfect networks: Model-based predictive networked control systems. IEEE Transactions on Industrial Electronics, vol. 58, no. 3, pp. 905-913, 2011. |

[2] | Y. Ge, Q. G. Chen, M. Jiang, Y. Q. Huang. Modeling of random delays in networked control systems. Journal of Control Science and Engineering, vol. 2013, Article number 383415, 2013. |

[3] | L. X. Zhang, H. J. Gao, O. Kaynak. Network-induced constraints in networked control systems—A survey. IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 403-416, 2013. |

[4] | D. F. Delchamps. Stabilizing a linear system with quantized state feedback. IEEE Transactions on Automatic Control, vol. 35, no. 8, pp. 916-924, 1990. |

[5] | L. Bao, M. Skoglund, K. H. Johansson. Encoder-decoder design for event-triggered feedback control over bandlimited channels. In Proceedings of the American Control Conference, IEEE, Minneapolis, USA, pp. 4183-4188, 2006. |

[6] | S. L. Hu, D. Yue. Event-triggered control design of linear networked systems with quantizations. ISA Transactions, vol. 51, no. 1, pp. 153-162, 2012. |

[7] | E. Garcia, P. J. Antsaklis. Model-based event-triggered control for systems with quantization and time-varying network delays. IEEE Transactions on Automatic Control, vol. 58, no. 2, pp. 422-434, 2013. |

[8] | L. C. Li, X. F. Wang, M. Lemmon. Stabilizing bit-rates in quantized event triggered control systems. In Proceedings of the 15th ACM International Conference on Hybrid Systems: Computation and Control, ACM, Beijing, China, pp. 245-254, 2012. |

[9] | N. Elia, S. K. Mitter. Stabilization of linear systems with limited information. IEEE Transactions on Automatic Control, vol. 46, no. 9, pp. 1384-1400, 2001. |

[10] | M. Y. Fu, L. H. Xie. The sector bound approach to quantized feedback control. IEEE Transactions on Automatic Control, vol. 50, no. 11, pp. 1698-1711, 2005. |

[11] | H. Ishii, T. Başar. Remote control of LTI systems over networks with state quantization. Systems & Control Letters, vol. 54, no. 1, pp. 15-31, 2005. |

[12] | T. Hayakawa, H. Ishii, K. Tsumura. Adaptive quantized control for linear uncertain discrete-time systems. Automatica, vol. 45, no. 3, pp. 692-700, 2009. |

[13] | T. Hayakawa, H. Ishii, K. Tsumura. Adaptive quantized control for nonlinear uncertain systems. Systems & Control Letters, vol. 58, no. 9, pp. 625-632, 2009. |

[14] | K. Y. You, W. Z. Su, M. Y. Fu, L. H. Xie. Attainability of the minimum data rate for stabilization of linear systems via logarithmic quantization. Automatica, vol. 47, no. 1, pp. 170-176, 2011. |

[15] | B. Zhou, G. R. Duan, J. Lam. On the absolute stability approach to quantized feedback control. Automatica, vol. 46, no. 2, pp. 337-346, 2010. |

[16] | D. Yue, C. Peng, G. Y. Tang. Guaranteed cost control of linear systems over networks with state and input quantisations. IET Control Theory & Applications, vol. 153, no. 6, pp. 658-664, 2006. |

[17] | C. Z. Zhang, G. Feng, H. J. Gao, J. B. Qiu. Generalized H2 filter design for T-S fuzzy systems with quantization and packet loss. In Proceedings of IEEE Symposium on Computational Intelligence in Control and Automation, IEEE, Paris, France, pp. 52-59, 2011. |

[18] |
C. Z. Zhang, G. Feng, H. J. Gao, J. B. Qiu. H_{∞} filtering for nonlinear discrete-time systems subject to quantization and packet dropouts. IEEE Transactions on Fuzzy Systems, vol. 19, no. 2, pp. 353-365, 2011. |

[19] |
L. Li, Y. Q. Xia, J. Q. Qiu, H. J. Yang. Robust H_{∞} networked control for discrete-time fuzzy systems with state quantisation. International Journal of Systems Science, vol. 43, no. 12, pp. 2249-2260, 2012. |

[20] | J. J. Yan, Y. Q. Xia. Stabilisation of non-linear continuous system with input quantisation and packet dropout. IET Control Theory & Applications, vol. 6, no. 15, pp. 2426-2433, 2012. |

[21] | Y. Q. Xia, J. J. Yan, P. Shi, M. Y. Fu. Stability analysis of discrete-time systems with quantized feedback and measurements. IEEE Transactions on Industrial Informatics, vol. 9, no. 1, pp. 313-324, 2013. |

[22] | R. W. Brockett, D. Liberzon. Quantized feedback stabilization of linear systems. IEEE Transactions on Automatic Control, vol. 45, no. 7, pp. 1279-1289, 2000. |

[23] | D. Liberzon. Hybrid feedback stabilization of systems with quantized signals. Automatica, vol. 39, no. 9, pp. 1543-1554, 2003. |

[24] | F. Fagnani, S. Zampieri. Quantized stabilization of linear systems: Complexity versus performance. IEEE Transactions on Automatic Control, vol. 49, no. 9, pp. 1534-1548, 2004. |

[25] | F. Bullo, D. Liberzon. Quantized control via locational optimization. IEEE Transactions on Automatic Control, vol. 51, no. 1, pp. 2-13, 2006. |

[26] | D. Liberzon, D. Nesic. Input-to-state stabilization of linear systems with quantized state measurements. IEEE Transactions on Automatic Control, vol. 52, no. 5, pp. 767-781, 2007. |

[27] | D. Nešić, D. Liberzon. A unified framework for design and analysis of networked and quantized control systems. IEEE Transactions on Automatic Control, vol. 54, no. 4, pp. 732-747, 2009. |

[28] | K. Y. You, L. H. Xie. Minimum data rate for mean square stabilization of discrete LTI systems over lossy channels. IEEE Transactions on Automatic Control, vol. 55, no. 10, pp. 2373-2378, 2010. |

[29] | K. Y. You, L. H. Xie. Minimum data rate for mean square stabilizability of linear systems with Markovian packet losses. IEEE Transactions on Automatic Control, vol. 56, no. 4, pp. 772-785, 2011. |

[30] | E. Tian, D. Yue, X. Zhao. Quantised control design for networked control systems. IET Control Theory & Applications, vol. 1, no. 6, pp. 1693-1699, 2007. |

[31] | C. De Persis. On stabilization of nonlinear systems under data rate constraints using output measurements. International Journal of Robust and Nonlinear Control, vol. 16, no. 6, pp. 315-332, 2006. |

[32] | C. De Persis. Robust stabilization of nonlinear systems by quantized and ternary control. Systems & Control Letters, vol. 58, no. 8, pp. 602-608, 2009. |

[33] | J. J. Yan, Y. Q. Xia, B. Liu, M. Y. Fu. Stabilisation of quantised linear systems with packet dropout. IET Control Theory & Applications, vol. 5, no. 8, pp. 982-989, 2011. |

[34] | J. J. Yan, Y. Q. Xia, L. Li. Stabilization of fuzzy systems with quantization and packet dropout. International Journal of Robust and Nonlinear Control, vol. 24, no. 10, pp. 1563-1583, 2014. |

[35] | Y. Q. Xia, J. J. Yan, J. Z. Shang, M. Y. Fu, B. Liu. Stabilization of quantized systems based on Kalman filter. Control Engineering Practice, vol. 20, no. 10, pp. 954-962, 2012. |

[36] | Y. Sharon, D. Liberzon. Input to state stabilizing controller for systems with coarse quantization. IEEE Transactions on Automatic Control, vol. 57, no. 4, pp. 830-844, 2012. |

[37] | R. E. Kalman. A new approach to linear filtering and prediction problems. Journal of Fluids Engineering, vol. 82, no. 1, pp. 35-45, 1960. |

[38] | K. Y. You, L. H. Xie. Kalman filtering with scheduled measurements. IEEE Transactions on Signal Processing, vol. 61, no. 6, pp. 1520-1530, 2013. |

[39] | M. Sahebsara, T. W. Chen, S. L. Shah. Optimal H2 filtering in networked control systems with multiple packet dropout. IEEE Transactions on Automatic Control, vol. 52, no. 8, pp. 1508-1513, 2007. |

[40] |
M. Sahebsara, T. W. Chen, S. L. Shah. Optimal H_{∞} filtering in networked control systems with multiple packet dropouts. Systems & Control Letters, vol. 57, no. 9, pp. 696-702, 2008. |

[41] |
W. A. Zhang, L. Yu, H. B. Song. H_{∞} filtering of networked discrete-time systems with random packet losses. Information Sciences, vol. 179, no. 22, pp. 3944-3955, 2009. |

[42] | B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, M. I. Jordan, S. S. Sastry. Kalman filtering with intermittent observations. IEEE Transactions on Automatic Control, vol. 49, no. 9, pp. 1453-1464, 2004. |

[43] |
X. He, Z. D. Wang, D. Zhou. Robust H_{∞} filtering for networked systems with multiple state delays. International Journal of Control, vol. 80, no. 8, pp. 1217-1232, 2007. |

[44] |
S. L. Hu, D. Yue. Event-based H_{∞} filtering for networked system with communication delay. Signal Processing, vol. 92, no. 9, pp. 2029-2039, 2012. |

[45] | M. Moayedi, Y. K. Foo, Y. C. Soh. Adaptive Kalman filtering in networked systems with random sensor delays, multiple packet dropouts and missing measurements. IEEE Transactions on Signal Processing, vol. 58, no. 3, pp. 1577-1588, 2010. |

[46] | L. Schenato. Optimal estimation in networked control systems subject to random delay and packet drop. IEEE Transactions on Automatic Control, vol. 53, no. 5, pp. 1311-1317, 2008. |

[47] | M. Sahebsara, T. Chen, S. L. Shah. Optimal filtering with random sensor delay, multiple packet dropout and uncertain observations. International Journal of Control, vol. 80, no. 2, pp. 292-301, 2007. |

[48] | G. L. Wei, Z. D. Wang, X. He, H. S. Shu. Filtering for networked stochastic time-delay systems with sector nonlinearity. IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 56, no. 1, pp. 71-75, 2009. |

[49] | Y. Shi, H. Z. Fang. Kalman filter-based identification for systems with randomly missing measurements in a network environment. International Journal of Control, vol. 83, no. 3, pp. 538-551, 2010. |

[50] | M. Moayedi, Y. K. Foo, Y. C. Soh. Filtering for networked control systems with single/multiple measurement packets subject to multiple-step measurement delays and multiple packet dropouts. International Journal of Systems Science, vol. 42, no. 3, pp. 335-348, 2011. |

[51] |
D. Yue, Q. L. Han. Network-based robust H_{∞} filtering for uncertain linear systems. IEEE Transactions on Signal Processing, vol. 54, no. 11, pp. 4293-4301, 2006. |

[52] | Y. Q. Xia, J. Q. Han. Robust Kalman filtering for systems under norm bounded uncertainties in all system matrices and error covariance constraints. Journal of Systems Science and Complexity, vol. 18, no. 4, pp. 439-445, 2005. |

[53] | H. J. Yang, Y. Q. Xia, P. Shi, M. Y. Fu. A novel delta operator Kalman filter design and convergence analysis. IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 58, no. 10, pp. 2458-2468, 2011. |

[54] | W. Xie, Y. Q. Xia. Data-driven method for Kalman filtering. In Proceedings of the 2nd International Conference on Intelligent Control and Information Processing, IEEE, Harbin, China, pp. 830-835, 2011. |

[55] | J. F. Wu, Q. S. Jia, K. H. Johansson, L. Shi. Event-based sensor data scheduling: Trade-off between communication rate and estimation quality. IEEE Transactions on Automatic Control, vol. 58, no. 4, pp. 1041-1046, 2013. |

[56] | D. E. Quevedo, D. Nešić. Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses. Automatica, vol. 48, no. 8, pp. 1803-1811, 2012. |

[57] | R. N. Yang, P. Shi, G. P. Liu. Filtering for discrete-time networked nonlinear systems with mixed random delays and packet dropouts. IEEE Transactions on Automatic Control, vol. 56, no. 11, pp. 2655-2660, 2011. |

[58] |
H. L. Dong, Z. D. Wang, H. J. Gao. Robust H_{∞} filtering for a class of nonlinear networked systems with multiple stochastic communication delays and packet dropouts. IEEE Transactions on Signal Processing, vol. 58, no. 4, pp. 1957-1966, 2010. |

[59] | M. Hilairet, F. Auger, E. Berthelot. Speed and rotor flux estimation of induction machines using a two-stage extended Kalman filter. Automatica, vol. 45, no. 8, pp. 1819-1827, 2009. |

[60] | H. W. Sorenson. Kalman Filtering: Theory and Application, Piscataway, New Jersey, USA: IEEE, 1985. |

[61] | J. J. LaViola. A comparison of unscented and extended Kalman filtering for estimating quaternion motion. In Proceedings of the American Control Conference, IEEE, Colorado, USA, pp. 2435-2440, 2003. |

[62] | N. J. Gordon, D. J. Salmond, A. F. M. Smith. Novel approach to nonlinear/non-Gaussian Bayesian state estimation. IEE Proceedings F on Radar and Signal Processing, vol. 140, no. 2, pp. 107-113, 1993. |

[63] | S. Guadarrama, A. Ruiz-Mayor. Approximate robotic mapping from sonar data by modeling perceptions with antonyms. Information Sciences, vol. 180, no. 21, pp. 4164-4188, 2010. |

[64] | H. P. Liu, F. C. Sun. Efficient visual tracking using particle filter with incremental likelihood calculation. Information Sciences, vol. 195, pp. 141-153, 2012. |

[65] | Y. Q. Xia, Z. H. Deng, L. Li, X.M. Geng. A new continuousdiscrete particle filter for continuous-discrete nonlinear systems. Information Sciences, vol. 242, pp. 64-75, 2013. |

[66] | S. Kluge, K. Reif, M. Brokate. Stochastic stability of the extended Kalman filter with intermittent observations. IEEE Transactions on Automatic Control, vol. 55, no. 2, pp. 514-518, 2010. |

[67] | L. Li, Y. Q. Xia. Stochastic stability of the unscented Kalman filter with intermittent observations. Automatica, vol. 48, no. 5, pp. 978-981, 2012. |

[68] | L. Li, Y. Q. Xia. Unscented Kalman filter over unreliable communication networks with Markovian packet dropouts. IEEE Transactions on Automatic Control, vol. 58, no. 12, pp. 3224-3230, 2013. |

[69] | R. A. Singer, A. J. Kanyuck. Computer control of multiple site track correlation. Automatica, vol. 7, no. 4, pp. 455-463, 1971. |

[70] | D. Willner, C. B. Chang, K. P. Dunn. Kalman filteri-sensor system. In Proceedings of IEEE Conference on Decision and Control including the 15th Symposium on Adaptive Processes, IEEE, Clearwater, USA, pp. 570-574, 1976. |

[71] | K. Salahshoor, M. Mosallaei, M. Bayat. Centralized and decentralized process and sensor fault monitoring using data fusion based on adaptive extended Kalman filter algorithm. Measurement, vol. 41, no. 10, pp. 1059-1076, 2008. |

[72] | M. Munz, M. Mählisch, K. Dietmayer. Generic centralized multi sensor data fusion based on probabilistic sensor and environment models for driver assistance systems. IEEE Intelligent Transportation Systems Magazine, vol. 2, no. 1, pp. 6-17, 2010. |

[73] | A. Polychronopoulos, U. Scheunert, F. Tango. Centralized data fusion for obstacle and road borders tracking in a collision warning system. In Proceedings of the 7th International Conference on Information Fusion, 2004. |

[74] | G. J. Bierman, M. R. Belzer. A decentralized square root information filter/smoother. In Proceedings of the 24th IEEE Conference on Decision and Control, IEEE, Fort Lauderdale, USA, pp. 1902-1905, 1985. |

[75] | N. A. Carlson. Federated square root filter for decentralized parallel processors. IEEE Transactions on Aerospace and Electronic Systems, vol. 26, no. 3, pp. 517-525, 1990. |

[76] | D. A. Castanon, D. Teneketzis. Distributed estimation algorithms for nonlinear systems. IEEE Transactions on Automatic Control, vol. 30, no. 5, pp. 418-425, 1985. |

[77] | R. Lobbia, M. Kent. Data fusion of decentralized local tracker outputs. IEEE Transactions on Aerospace and Electronic Systems, vol. 30, no. 3, pp. 787-799, 1994. |

[78] | Y. Bar-Shalom. On the track-to-track correlation problem. IEEE Transactions on Automatic Control, vol. 26, no. 2, pp. 571-572, 1981. |

[79] | S. Grime, H. F. Durrant-Whyte, P. Ho. Communication in decentralized data-fusion systems. In Proceedings of the American Control Conference, IEEE, Chicago, USA, pp. 3299-3303, 1992. |

[80] | R. Kumar, M. Wolenetz, B. Agarwalla, J. S. Shin, P. W. Hutto, A. Paul, U. Ramachandran. DFuse: A framework for distributed data fusion. In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems, ACM, New York, USA, pp. 114-125, 2003. |

[81] | M. S. Mahmoud, Y. Q. Xia. Networked Filtering and Fusion in Wireless Sensor Networks, New York: CRC Press, 2014. |

[82] | S. Challa, M. Palaniswami, A. Shilton. Distributed data fusion using support vector machines. In Proceedings of the 5th International Conference on Information Fusion, IEEE, Annapolis, USA, pp. 881-885, 2002. |

[83] | C. S. Regazzoni, A. Tesei. Distributed data fusion for realtime crowding estimation. Signal Processing, vol. 53, no. 1, pp. 47-63, 1996. |

[84] | M. E. Liggins, C. Y. Chong, I. Kadar, M. G. Alford, V. Vannicola, S. Thomopoulos. Distributed fusion architectures and algorithms for target tracking. Proceedings of the IEEE, vol. 85, no. 1, pp. 95-107, 1997. |

[85] | E. Besada-Portas, J. A. Lopez-Orozco, J. Besada, J. M. De la Cruz. Multisensor fusion for linear control systems with asynchronous, out-of-sequence and erroneous data. Automatica, vol. 47, no. 7, pp. 1399-1408, 2011. |

[86] | X. J. Shen, E. B. Song, Y. M. Zhu, Y. T. Luo. Globally optimal distributed Kalman fusion with local out-of-sequencemeasurement updates. IEEE Transactions on Automatic Control, vol. 54, no. 8, pp. 1928-1934, 2009. |

[87] | B. Chen, W. A. Zhang, L. Yu. Distributed fusion estimation with missing measurements, random transmission delays and packet dropouts. IEEE Transactions on Automatic Control, vol. 59, no. 7, pp. 1961-1967, 2014. |

[88] | Y. Q. Xia, J. Z. Shang, J. Chen, G. P. Liu. Data fusion over network. In Proceedings of the 27th Chinese Control Conference, IEEE, Kunming, China, pp. 452-456, 2008. |

[89] | Y. Q. Xia, J. Z. Shang, J. Chen, G. P. Liu. Networked data fusion with packet losses and variable delays. IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics, vol. 39, no. 5, pp. 1107-1120, 2009. |

[90] | C. Zhu, Y. Q. Xia, L. P. Yan, M. Y. Fu. Multi-channel networked data fusion with intermittent observations. In Proceedings of the 29th Chinese Control Conference, IEEE, Beijing, China, pp. 4317-4322, 2010. |

[91] | C. Zhu, Y. Q. Xia, L. P. Yan, M. Y. Fu. Centralised fusion over unreliable networks. International Journal of Control, vol. 85, no. 4, pp. 409-418, 2012. |

[92] | W. A. Zhang, G. Feng, L. Yu. Multi-rate distributed fusion estimation for sensor networks with packet losses. Automatica, vol. 48, no. 9, pp. 2016-2028, 2012. |

[93] |
Y. Liang, T. W. Chen, Q. Pan. Multi-rate stochastic H_{∞} filtering for networked multi-sensor fusion. Automatica, vol. 46, no. 2, pp. 437-444, 2010. |

[94] | L. P. Yan, B. Xiao, Y. Q. Xia, M. Y. Fu. State estimation for asynchronous multirate multisensor nonlinear dynamic systems with missing measurements. International Journal of Adaptive Control and Signal Processing, vol. 26, no. 6, pp. 516-529, 2012. |

[95] | M. Renzo, L. Imbriglio, F. Graziosi, F. Santucci. Distributed data fusion over correlated log-normal sensing and reporting channels: Application to cognitive radio networks. IEEE Transactions on Wireless Communications, vol. 8, no. 12, pp. 5813-5821, 2009. |

[96] | L. P. Yan, X. R. Li, Y. Q. Xia, M. Y. Fu. Optimal sequential and distributed fusion for state estimation in crosscorrelated noise. Automatica, vol. 49, no. 12, pp. 3607-3612, 2013. |

[97] | X. L. Bian, Y. Q. Xia, Z. H. Deng, M. Y. Fu. Onechannel networked data fusion with communication constraint. Journal of the Franklin Institute, vol. 351, no. 1, pp. 156-173, 2014. |

[98] | X. L. Bian, Y. Q. Xia. Energy efficient data fusion over wireless channels with power control. IET Signal Processing, vol. 9, no. 3, pp. 206-217, 2015. |

[99] | H. Ye, S. X. Ding. Fault detection of networked control systems with network-induced delay. In Proceedings of the 8th International Conference on Control, Automation, Robotics and Vision, IEEE, Kunming, China, pp. 294-297, 2004. |

[100] | W. Zhang, M. S. Branicky, S. M. Phillips. Stability of networked control systems. IEEE Control Systems Magazine, vol. 21, no. 1, pp. 84-99, 2001. |