Copyright © 2012 Hongli Dong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

1. G. Chen, “Simple treatment for suboptimal Kalman filtering in case of measurement data missing,” IEEE Transactions on Aerospace and Electronic Systems, vol. 26, no. 2, pp. 413–415, 1990. View at Publisher · View at Google Scholar · View at Scopus
2. F. O. Hounkpevi and E. E. Yaz, “Robust minimum variance linear state estimators for multiple sensors with different failure rates,” Automatica, vol. 43, no. 7, pp. 1274–1280, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
3. S. Nakamori, R. Caballero-Águila, A. Hermoso-Carazo, J. D. Jiménez-López, and J. Linares-Pérez, “Signal estimation with nonlinear uncertain observations using covariance information,” Journal of Statistical Computation and Simulation, vol. 79, no. 1-2, pp. 55–66, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
4. B. Shen, Z. Wang, H. Shu, and G. Wei, “On nonlinear $H_{\infty }$ filtering for discrete-time stochastic systems with missing measurements,” IEEE Transactions on Automatic Control, vol. 53, no. 9, pp. 2170–2180, 2008. View at Publisher · View at Google Scholar
5. B. Shen, Z. Wang, H. Shu, and G. Wei, “$H_{\infty }$ filtering for uncertain time-varying systems with multiple randomly occurred nonlinearities and successive packet dropouts,” International Journal of Robust and Nonlinear Control, vol. 21, no. 14, pp. 1693–1709, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
6. S. Sun, L. Xie, W. Xiao, and Y. C. Soh, “Optimal linear estimation for systems with multiple packet dropouts,” Automatica, vol. 44, no. 5, pp. 1333–1342, 2008. View at Publisher · View at Google Scholar
7. Z. Wang, B. Shen, H. Shu, and G. Wei, “Quantized $H_{\infty }$ control for nonlinear stochastic time-delay systems with missing measurements,” IEEE Transactions on Automatic Control, vol. 57, no. 6, pp. 1431–1444, 2012. View at Publisher · View at Google Scholar
8. Z. Wang, B. Shen, and X. Liu, “$H_{\infty }$ filtering with randomly occurring sensor saturations and missing measurements,” Automatica, vol. 48, no. 3, pp. 556–562, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
9. Z. Wang, F. Yang, D. W. C. Ho, and X. Liu, “Robust $H_{\infty }$ filtering for stochastic time-delay systems with missing measurements,” IEEE Transactions on Signal Processing, vol. 54, no. 7, pp. 2579–2587, 2006. View at Publisher · View at Google Scholar · View at Scopus
10. Z. Wang, F. Yang, D. W. C. Ho, and X. Liu, “Robust $H_{\infty }$ control for networked systems with random packet losses,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 37, no. 4, pp. 916–924, 2007. View at Publisher · View at Google Scholar · View at Scopus
11. G. Wei, Z. Wang, and H. Shu, “Robust filtering with stochastic nonlinearities and multiple missing measurements,” Automatica, vol. 45, no. 3, pp. 836–841, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
12. H. Gao, Y. Zhao, J. Lam, and K. Chen, “$H_{\infty }$ fuzzy filtering of nonlinear systems with intermittent measurements,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 2, pp. 291–300, 2009. View at Publisher · View at Google Scholar · View at Scopus
13. Z. Wang, D. W. C. Ho, Y. Liu, and X. Liu, “Robust $H_{\infty }$ control for a class of nonlinear discrete time-delay stochastic systems with missing measurements,” Automatica, vol. 45, no. 3, pp. 684–691, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
14. Z. Shu, J. Lam, and J. Xiong, “Non-fragile exponential stability assignment of discrete-time linear systems with missing data in actuators,” IEEE Transactions on Automatic Control, vol. 54, no. 3, pp. 625–630, 2009. View at Publisher · View at Google Scholar
15. M. Sahebsara, T. Chen, and S. L. Shah, “Optimal $H_2$ filtering with random sensor delay, multiple packet dropout and uncertain observations,” International Journal of Control, vol. 80, no. 2, pp. 292–301, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
16. H. Dong, Z. Wang, D. W. C. Ho, and H. Gao, “Variance-constrained $H_{\infty }$ filtering for a class of nonlinear time-varying systems with multiple missing measurements: the finite-horizon case,” IEEE Transactions on Signal Processing, vol. 58, no. 5, pp. 2534–2543, 2010. View at Publisher · View at Google Scholar
17. W. Zhang, M. S. Branicky, and S. M. Phillips, “Stability of networked control systems,” IEEE Control Systems Magazine, vol. 21, no. 1, pp. 84–99, 2001. View at Scopus
18. J. Nilsson, Real-time control systems with delays [Ph.D. dissertation], Lund Institute of Technology, Lund, Sweden, 1998.
19. F. Gokas, Distributed control of systems over communication networks [Ph.D. dissertation], University of Pennsylvania, Philadelphia, Pa, USA, 2000.
20. H. Gao and X. Li, “$H_{\infty }$ filtering for discrete-time state-delayed systems with finite frequency specifications,” IEEE Transactions on Automatic Control, vol. 56, no. 12, pp. 2935–2941, 2011. View at Publisher · View at Google Scholar
21. H. Gao, T. Chen, and J. Lam, “A new delay system approach to network-based control,” Automatica, vol. 44, no. 1, pp. 39–52, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
22. Z. Wang and D. W. C. Ho, “Filtering on nonlinear time-delay stochastic systems,” Automatica, vol. 39, no. 1, pp. 101–108, 2006. View at Zentralblatt MATH
23. B. Chen and X. Liu, “Delay-dependent robust $H_{\infty }$ control for T-S fuzzy systems with time delay,” IEEE Transactions on Fuzzy Systems, vol. 13, no. 4, pp. 544–556, 2005. View at Publisher · View at Google Scholar · View at Scopus
24. M. Liu, D. W. C. Ho, and Y. Niu, “Stabilization of Markovian jump linear system over networks with random communication delay,” Automatica, vol. 45, no. 2, pp. 416–421, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
25. H. Zhang, M. Li, J. Yang, and D. Yang, “Fuzzy model-based robust networked control for a class of nonlinear systems,” IEEE Transactions on Systems, Man, and Cybernetics A, vol. 39, no. 2, pp. 437–447, 2009. View at Publisher · View at Google Scholar · View at Scopus
26. F. Yang, Z. Wang, Y. S. Hung, and M. Gani, “$H_{\infty }$ control for networked systems with random communication delays,” IEEE Transactions on Automatic Control, vol. 51, no. 3, pp. 511–518, 2006. View at Publisher · View at Google Scholar
27. D. Yue, E. Tian, Y. Zhang, and C. Peng, “Delay-distribution-dependent stability and stabilization of T-S fuzzy systems with probabilistic interval delay,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 39, no. 2, pp. 503–516, 2009. View at Publisher · View at Google Scholar · View at Scopus
28. D. V. Dimarogonas and K. H. Johansson, “Quantized agreement under time-varying communication topology,” in American Control Conference (ACC '08), pp. 4376–4381, Seattle, Wash, USA, June 2008. View at Scopus
29. H. Gao and T. Chen, “A new approach to quantized feedback control systems,” Automatica, vol. 44, no. 2, pp. 534–542, 2008. View at Publisher · View at Google Scholar
30. Z. Gao and S. X. Ding, “Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems,” Automatica, vol. 43, no. 5, pp. 912–920, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
31. H. R. Karimi, “Robust $H_{\infty }$ filter design for uncertain linear systems over network with network-induced delays and output quantization,” Modeling, Identification and Control, vol. 30, no. 1, pp. 27–37, 2009. View at Publisher · View at Google Scholar · View at Scopus
32. T. Nakamura, “Development of self-learning vision-based mobile robots for acquiring soccer robots behaviors,” in Proceedings of the IEEE International Conference on Robotics and Automation. Part 1 (of 4), pp. 2592–2598, Leuven, Belgium, May 1998. View at Scopus
33. H. Sun, N. Hovakimyan, and T. Basar, “$L_1$ adaptive controller for quantized systems,” in Proceedings of the American Control Conference, pp. 582–587, San Francisco, Calif, USA, 2011.
34. C. Y. Tsai and K. T. Song, “Visual tracking control of a wheeled mobile robot with system model and velocity quantization robustness,” IEEE Transactions on Control Systems Technology, vol. 17, no. 3, pp. 520–527, 2009. View at Publisher · View at Google Scholar · View at Scopus
35. N. Xiao, L. Xie, and M. Fu, “Stabilization of Markov jump linear systems using quantized state feedback,” Automatica, vol. 46, no. 10, pp. 1696–1702, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
36. R. W. Brockett and D. Liberzon, “Quantized feedback stabilization of linear systems,” IEEE Transactions on Automatic Control, vol. 45, no. 7, pp. 1279–1289, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
37. D. Liberzon, “On stabilization of linear systems with limited information,” IEEE Transactions on Automatic Control, vol. 48, no. 2, pp. 304–307, 2003. View at Publisher · View at Google Scholar
38. H. Ishii and B. A. Francis, “Stabilizing a linear system by switching control with dwell time,” IEEE Transactions on Automatic Control, vol. 47, no. 12, pp. 1962–1973, 2002. View at Publisher · View at Google Scholar
39. N. Elia and S. K. Mitter, “Stabilization of linear systems with limited information,” IEEE Transactions on Automatic Control, vol. 46, no. 9, pp. 1384–1400, 2001. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
40. M. Fu and L. Xie, “The sector bound approach to quantized feedback control,” IEEE Transactions on Automatic Control, vol. 50, no. 11, pp. 1698–1711, 2005. View at Publisher · View at Google Scholar
41. H. Dong, Z. Wang, and H. Gao, “On design of quantized fault detection filters with randomly occurring nonlinearities and mixed time-delays,” Signal Processing, vol. 92, no. 4, pp. 1117–1125, 2012.
42. M. Fu and C. E. de Souza, “State estimation for linear discrete-time systems using quantized measurements,” Automatica, vol. 45, no. 12, pp. 2937–2945, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
43. H. Fang, Z. Lin, and T. Hu, “Analysis of linear systems in the presence of actuator saturation and $L_2$-disturbances,” Automatica, vol. 40, no. 7, pp. 1229–1238, 2004. View at Publisher · View at Google Scholar
44. T. Hu and Z. Lin, Control Systems With Actuator Saturation: Analysis and Design, Birkäuser, Boston, Mass, USA, 2001.
45. L. Lv and Z. Lin, “Analysis and design of singular linear systems under actuator saturation and $L_2$/$L_{\infty }$ disturbances,” Systems and Control Letters, vol. 57, no. 11, pp. 904–912, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
46. L. Wu and D. W. C. Ho, “Fuzzy filter design for Itô stochastic systems with application to sensor fault detection,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 1, pp. 233–242, 2009. View at Publisher · View at Google Scholar · View at Scopus
47. Y.-Y. Cao, Z. Lin, and B. M. Chen, “An output feedback $H_{\infty }$ controller design for linear systems subject to sensor nonlinearities,” IEEE Transactions on Circuits and Systems I, vol. 50, no. 7, pp. 914–921, 2003. View at Publisher · View at Google Scholar
48. Y. Xiao, Y.-Y. Cao, and Z. Lin, “Robust filtering for discrete-time systems with saturation and its application to transmultiplexers,” IEEE Transactions on Signal Processing, vol. 52, no. 5, pp. 1266–1277, 2004. View at Publisher · View at Google Scholar
49. Z. Zuo, J. Wang, and L. Huang, “Output feedback $H_{\infty }$ controller design for linear discrete-time systems with sensor nonlinearities,” IEE Proceedings, vol. 152, no. 1, pp. 19–26, 2005.
50. G. Garcia, S. Tarbouriech, and J. M. G. da Silva Jr., “Dynamic output controller design for linear systems with actuator and sensor saturation,” in Proceedings of the American Control Conference (ACC '07), pp. 5834–5839, July 2007. View at Scopus
51. J. Liang, Z. Wang, and X. Liu, “Distributed state estimation for discrete-time sensor networks with randomly varying nonlinearities and missing measurements,” IEEE Transactions on Neural Networks, vol. 22, no. 3, pp. 486–496, 2011. View at Publisher · View at Google Scholar · View at Scopus
52. Z. Wang, Y. Wang, and Y. Liu, “Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays,” IEEE Transactions on Neural Networks, vol. 21, no. 1, pp. 11–25, 2010. View at Publisher · View at Google Scholar · View at Scopus
53. M. Liu, Network-based stability analysis and synthesis for stochastic system with Markovian switching [Ph.D. dissertation], City University of Hong Kong, Hong Kong, 2009.
54. Z. Fei, H. Gao, and P. Shi, “New results on stabilization of Markovian jump systems with time delay,” Automatica, vol. 45, no. 10, pp. 2300–2306, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
55. H. Gao, Z. Fei, J. Lam, and B. Du, “Further results on exponential estimates of Markovian jump systems with mode-dependent time-varying delays,” IEEE Transactions on Automatic Control, vol. 56, no. 1, pp. 223–229, 2011. View at Publisher · View at Google Scholar
56. J. Xiong, J. Lam, H. Gao, and D. W. C. Ho, “On robust stabilization of Markovian jump systems with uncertain switching probabilities,” Automatica, vol. 41, no. 5, pp. 897–903, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
57. H. Dong, Z. Wang, D. W. C. Ho, and H. Gao, “Robust $H_{\infty }$ filtering for Markovian jump systems with randomly occurring nonlinearities and sensor saturation: the finite-horizon case,” IEEE Transactions on Signal Processing, vol. 59, no. 7, pp. 3048–3057, 2011. View at Publisher · View at Google Scholar
58. H. Liu, F. Sun, K. He, and Z. Sun, “Design of reduced-order $H_{\infty }$ filter for Markovian jumping systems with time delay,” IEEE Transactions on Circuits and Systems II, vol. 51, no. 11, pp. 1837–1837, 2004. View at Scopus
59. L. Ma, F. Da, and K.-J. Zhang, “Exponential $H_{\infty }$ filter design for discrete time-delay stochastic systems with Markovian jump parameters and missing measurements,” IEEE Transactions on Circuits and Systems I, vol. 58, no. 5, pp. 994–1007, 2011. View at Publisher · View at Google Scholar
60. M. H. Terra, J. Y. Ishihara, and G. Jesus, “Information filtering and array algorithms for discrete-time Markovian jump linear systems,” IEEE Transactions on Automatic Control, vol. 54, no. 1, pp. 158–162, 2009. View at Publisher · View at Google Scholar · View at Scopus
61. L. Wu, P. Shi, H. Gao, and C. Wang, “$H_{\infty }$ filtering for 2D Markovian jump systems,” Automatica, vol. 44, no. 7, pp. 1849–1858, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
62. J. Xiong and J. Lam, “Fixed-order robust $H_{\infty }$ filter design for Markovian jump systems with uncertain switching probabilities,” IEEE Transactions on Signal Processing, vol. 54, no. 4, pp. 1421–1430, 2006. View at Publisher · View at Google Scholar · View at Scopus
63. L. Zhang, “$H_{\infty }$ estimation for discrete-time piecewise homogeneous Markov jump linear systems,” Automatica, vol. 45, no. 11, pp. 2570–2576, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
64. X. Zhang and Y. Zheng, “Nonlinear $H_{\infty }$ filtering for interconnected Markovian jump systems,” Journal of Systems Engineering and Electronics, vol. 17, no. 1, pp. 138–146, 2006. View at Publisher · View at Google Scholar · View at Scopus
65. L. Wu, P. Shi, and H. Gao, “State estimation and sliding-mode control of Markovian jump singular systems,” IEEE Transactions on Automatic Control, vol. 55, no. 5, pp. 1213–1219, 2010. View at Publisher · View at Google Scholar
66. J. Zhang, Y. Xia, and E. K. Boukas, “New approach to $H_{\infty }$ control for Markovian jump singular systems,” IET Control Theory and Applications, vol. 4, no. 11, pp. 2273–2284, 2010. View at Publisher · View at Google Scholar
67. X. He, Z. Wang, and D. H. Zhou, “Robust fault detection for networked systems with communication delay and data missing,” Automatica, vol. 45, no. 11, pp. 2634–2639, 2009. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
68. M. Zhong, H. Ye, P. Shi, and G. Wang, “Fault detection for Markovian jump systems,” IEE Proceedings, vol. 152, no. 4, pp. 397–402, 2005.
69. L. Zhang, E.-K. Boukas, and J. Lam, “Analysis and synthesis of Markov jump linear systems with time-varying delays and partially known transition probabilities,” IEEE Transactions on Automatic Control, vol. 53, no. 10, pp. 2458–2464, 2008. View at Publisher · View at Google Scholar
70. Y. Zhao, L. Zhang, S. Shen, and H. Gao, “Robust stability criterion for discrete-time uncertain markovian jumping neural networks with defective statistics of modes transitions,” IEEE Transactions on Neural Networks, vol. 22, no. 1, pp. 164–170, 2011. View at Publisher · View at Google Scholar · View at Scopus
71. S. X. Ding, T. Jeinsch, P. M. Frank, and E. L. Ding, “A unified approach to the optimization of fault detection systems,” International Journal of Adaptive Control and Signal Processing, vol. 14, no. 7, pp. 725–745, 2000.
72. Y. Zheng, H. Fang, and H. O. Wang, “Takagi-Sugeno fuzzy-model-based fault detection for networked control systems with Markov delays,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 36, no. 4, pp. 924–929, 2006. View at Publisher · View at Google Scholar · View at Scopus
73. M. Zhong, S. X. Ding, and E. L. Ding, “Optimal fault detection for linear discrete time-varying systems,” Automatica, vol. 46, no. 8, pp. 1395–1400, 2010. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
74. Z. Wang, Y. Liu, and X. Liu, “$H_{\infty }$ filtering for uncertain stochastic time-delay systems with sector-bounded nonlinearities,” Automatica, vol. 44, no. 5, pp. 1268–1277, 2008. View at Publisher · View at Google Scholar
75. G. Wei, Z. Wang, H. Shu, and J. Fang, “A delay-dependent approach to $H_{\infty }$ filtering for stochastic delayed jumping systems with sensor non-linearities,” International Journal of Control, vol. 80, no. 6, pp. 885–897, 2007. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
76. X. Jiang and Q. L. Han, “On designing fuzzy controllers for a class of nonlinear networked control systems,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 4, pp. 1050–1058, 2008. View at Scopus
77. Z. Wang, D. W. C. Ho, and X. Liu, “A note on the robust stability of uncertain stochastic fuzzy systems with time-delays,” IEEE Transactions on Systems, Man, and Cybernetics A, vol. 34, no. 4, pp. 570–576, 2004. View at Publisher · View at Google Scholar · View at Scopus
78. W. Zhang, B.-S. Chen, and C.-S. Tseng, “Robust $H_{\infty }$ filtering for nonlinear stochastic systems,” IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 589–598, 2005. View at Publisher · View at Google Scholar
79. F. S. Cattivelli and A. H. Sayed, “Diffusion strategies for distributed Kalman filtering and smoothing,” IEEE Transactions on Automatic Control, vol. 55, no. 9, pp. 1520–1520, 2010.
80. L. Chai, B. Hu, and P. Jiang, “Distributed state estimation based on quantized observations in a bandwidth constrained sensor network,” in Proceedings of the 7th World Congress on Intelligent Control and Automation (WCICA '08), pp. 2411–2415, June 2008. View at Scopus
81. M. Farina, G. Ferrari-Trecate, and R. Scattolini, “Distributed moving horizon estimation for sensor networks,” in Proceedings of the 1st IFAC Workshop on Estimation and Control of Networked Systems (NecSys '09), pp. 126–131, Venice, Italy, September 2009. View at Scopus
82. M. Kamgarpour and C. Tomlin, “Convergence properties of a decentralized Kalman filter,” in Proceedings of the 47th IEEE Conference on Decision and Control (CDC '08), pp. 3205–3210, Cancun, Mexico, December 2008. View at Publisher · View at Google Scholar · View at Scopus
83. R. Olfati-Saber, “Kalman-consensus filter: optimality, stability, and performance,” in Proceedings of the 48th IEEE Conference on Decision and Control held Jointly with 28th Chinese Control Conference (CDC/CCC '09), pp. 7036–7042, New Orleans, La, USA, December 2009. View at Publisher · View at Google Scholar · View at Scopus
84. R. Olfati-Saber, “Flocking for multi-agent dynamic systems: algorithms and theory,” IEEE Transactions on Automatic Control, vol. 51, no. 3, pp. 401–420, 2006. View at Publisher · View at Google Scholar
85. B. Shen, Z. Wang, and X. Liu, “A stochastic sampled-data approach to distributed $H_{\infty }$ filtering in sensor networks,” IEEE Transactions on Circuits and Systems I, vol. 58, no. 9, pp. 2237–2246, 2011. View at Publisher · View at Google Scholar
86. B. Shen, Z. Wang, and Y. S. Hung, “Distributed consensus $H_{\infty }$ filtering in sensor networks with multiple missing measurements: the finite-horizon case,” Automatica, vol. 46, no. 10, pp. 1682–1688, 2010. View at Publisher · View at Google Scholar
87. B. Shen, Z. Wang, Y. S. Hung, and G. Chesi, “Distributed $H_{\infty }$ filtering for polynomial nonlinear stochastic systems in sensor networks,” IEEE Transactions on Industrial Electronics, vol. 58, no. 5, pp. 1971–1979, 2011. View at Publisher · View at Google Scholar · View at Scopus
88. W. Yu, G. Chen, Z. Wang, and W. Yang, “Distributed consensus filtering in sensor networks,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 39, no. 6, pp. 1568–1577, 2009. View at Publisher · View at Google Scholar · View at Scopus
89. H. Zhang, G. Feng, G. Duan, and X. Lu, “$H_{\infty }$ filtering for multiple-time-delay measurements,” IEEE Transactions on Signal Processing, vol. 54, no. 5, pp. 1681–1688, 2006. View at Publisher · View at Google Scholar · View at Scopus
90. F. S. Cattivelli and A. H. Sayed, “Diffusion strategies for distributed Kalman filtering: formulation and performance analysis,” in Proceedings of the Cognitive Information Processing, pp. 36–41, Santorini, Greece, 2008.
91. R. Carli, A. Chiuso, L. Schenato, and S. Zampieri, “Distributed Kalman filtering based on consensus strategies,” IEEE Journal on Selected Areas in Communications, vol. 26, no. 4, pp. 622–633, 2008. View at Publisher · View at Google Scholar · View at Scopus
92. R. Olfati-Saber, “Distributed Kalman filtering for sensor networks,” in Proceedings of the 46th IEEE Conference on Decision and Control (CDC '07), pp. 5492–5498, New Orleans, La, USA, December 2007. View at Publisher · View at Google Scholar · View at Scopus
93. R. Olfati-Saber and J. S. Shamma, “Consensus filters for sensor networks and distributed sensor fusion,” in Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference (CDC-ECC '05), pp. 6698–6703, Seville, Spain, December 2005. View at Publisher · View at Google Scholar · View at Scopus
94. V. A. Ugrinovskii, “Distributed robust filtering with $H_{\infty }$ consensus of estimates,” in Proceedings of the American Control Conference (ACC '10), pp. 1374–1379, July 2010. View at Scopus
95. H. Dong, Z. Wang, and H. Gao, “$H_{\infty }$ filtering for systems with repeated scalar nonlinearities under unreliable communication links,” Signal Processing, vol. 89, no. 8, pp. 1567–1575, 2009. View at Publisher · View at Google Scholar · View at Scopus
96. H. Dong, Z. Wang, and H. Gao, “Observer-based $H_{\infty }$ control for systems with repeated scalar nonlinearities and multiple packet losses,” International Journal of Robust and Nonlinear Control, vol. 20, no. 12, pp. 1363–1378, 2010. View at Zentralblatt MATH
97. H. Dong, Z. Wang, and H. Gao, “Robust $H_{\infty }$ 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. View at Publisher · View at Google Scholar
98. H. Dong, Z. Wang, D. W. C. Ho, and H. Gao, “Robust $H_{\infty }$ fuzzy output-feedback control with multiple probabilistic delays and multiple missing measurements,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 4, pp. 712–725, 2010. View at Publisher · View at Google Scholar · View at Scopus
99. Z. Wang, D. W. C. Ho, H. Dong, and H. Gao, “Robust $H_{\infty }$ finite-horizon control for a class of stochastic nonlinear time-varying systems subject to sensor and actuator saturations,” IEEE Transactions on Automatic Control, vol. 55, no. 7, pp. 1716–1722, 2010. View at Publisher · View at Google Scholar
100. H. Dong, Z. Wang, and H. Gao, “Fault detection for Markovian jump systems with sensor saturations and randomly varying nonlinearities,” IEEE Transactions on Circuits and Systems I, vol. 59, no. 10, pp. 2354–2362, 2012.
101. H. Dong, Z. Wang, J. Lam, and H. Gao, “Fuzzy-model-based robust fault detection with stochastic mixed time-delays and successive packet dropouts,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 42, no. 2, pp. 365–376, 2012.
102. H. Dong, J. Lam, and H. Gao, “Distributed $H_{\infty }$ filtering for repeated scalar nonlinear systems with random packet losses in sensor networks,” International Journal of Systems Science, vol. 42, no. 9, pp. 1507–1519, 2011. View at Publisher · View at Google Scholar · View at Zentralblatt MATH
103. H. Dong, Z. Wang, and H. Gao, “Distributed filtering for a class of time-varying systems over sensor networks with quantization errors and successive packet dropouts,” IEEE Transactions on Signal Processing, vol. 60, no. 6, pp. 3164–3173, 2012. View at Publisher · View at Google Scholar
104. H. Dong, Z. Wang, and H. Gao, “Distributed $H_{\infty }$ filtering for a class of Markovian jump nonlinear time-delay systems over lossy sensor networks,” IEEE Transactions on Industrial Electronics. In press.
105. D. Ding, Z. Wang, H. Dong, and H. Shu, “State estimation with stochastic parameters and nonlinearities through sensor networks: the finite-horizon case,” Automatica, vol. 48, no. 8, pp. 1575–1585, 2012.