| Non-fragile state estimation for discrete Markovian jumping neural networks N Hou, H Dong, Z Wang, W Ren, FE Alsaadi Neurocomputing 179, 238-245, 2016 | 144 | 2016 |
| Robust partial-nodes-based state estimation for complex networks under deception attacks N Hou, Z Wang, DWC Ho, H Dong IEEE Transactions on Cybernetics, 2019 | 127 | 2019 |
| Variance-constrained state estimation for complex networks with randomly varying topologies H Dong, N Hou, Z Wang, W Ren IEEE transactions on neural networks and learning systems 29 (7), 2757-2768, 2017 | 97 | 2017 |
| Event-triggered distributed state estimation for a class of time-varying systems over sensor networks with redundant channels H Dong, X Bu, N Hou, Y Liu, FE Alsaadi, T Hayat Information Fusion 36, 243-250, 2017 | 96 | 2017 |
| Filter design, fault estimation and reliable control for networked time-varying systems: a survey J Li, H Dong, F Han, N Hou, X Li Systems Science & Control Engineering 5 (1), 331-341, 2017 | 58 | 2017 |
| Distributed filtering for time-varying systems over sensor networks with randomly switching topologies under the Round-Robin protocol X Bu, H Dong, F Han, N Hou, G Li Neurocomputing 346, 58-64, 2019 | 44 | 2019 |
| H∞ state estimation for discrete-time neural networks with distributed delays and randomly occurring uncertainties through fading channels N Hou, H Dong, Z Wang, W Ren, FE Alsaadi Neural Networks 89, 61-73, 2017 | 43 | 2017 |
| Finite‐horizon fault estimation under imperfect measurements and stochastic communication protocol: Dealing with finite‐time boundedness H Dong, N Hou, Z Wang, H Liu International Journal of Robust and Nonlinear Control 29 (1), 117-134, 2019 | 41 | 2019 |
| On passivity and robust passivity for discrete-time stochastic neural networks with randomly occurring mixed time delays J Li, H Dong, Z Wang, N Hou, FE Alsaadi Neural Computing and Applications 31 (1), 65-78, 2019 | 33 | 2019 |
| Event-triggered state estimation for time-delayed complex networks with gain variations based on partial nodes N Hou, H Dong, W Zhang, Y Liu, FE Alsaadi International Journal of General Systems 47 (5), 477-490, 2018 | 32 | 2018 |
| Event-triggered non-fragile H∞ fault detection for discrete time-delayed nonlinear systems with channel fadings W Ren, S Sun, N Hou, C Kang Journal of the Franklin Institute 355 (1), 436-457, 2018 | 29 | 2018 |
| Non-fragile H∞ filtering for nonlinear systems with randomly occurring gain variations and channel fadings W Ren, N Hou, Q Wang, Y Lu, X Liu Neurocomputing 156, 176-185, 2015 | 20 | 2015 |
| Dynamical performance analysis of communication-embedded neural networks: A survey W Chen, D Ding, J Mao, H Liu, N Hou Neurocomputing 346, 3-11, 2019 | 12 | 2019 |
| State estimation for discrete neural networks with randomly occurring uncertainties and missing measurements N Hou, H Dong, X Bu, F Yang 2016 12th World Congress on Intelligent Control and Automation (WCICA), 875-880, 2016 | 3 | 2016 |
| Tobit Kalman filtering: Conditional expectation approach F Han, H Dong, N Hou, X Bu 2017 Chinese Automation Congress (CAC), 928-932, 2017 | 1 | 2017 |
| State estimation for delayed Markovian jumping neural networks over sensor nonlinearities and disturbances J Li, H Dong, F Han, N Hou IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017 | | 2017 |
| Distributed fault estimation for time-varying systems with randomly occurring nonlinearities over sensor networks X Bu, H Dong, W Ren, L Yang, N Hou 2016 35th Chinese Control Conference (CCC), 7456-7461, 2016 | | 2016 |
