Journal Publications

[1]Sai-Bing Qiu, Xin-Ge Liu, Qiao Chen, Feng-Xian Wang.Stability and passivity analysis of discrete-time linear systems with　time-varying delay.Systems & Control Letters, 2019, 134
[2]Lifang Chen, Meilan Tang, Xinge Liu*, Fengxian Wang.Further results on stability and synchronization of fractional-order Hopfield neural networks.Neurocomputing
[3]Fengxian Wang, Meilan Tang, Xiaofan Liu*, Qiaoling Xu, Xinge Liu.Novel double integral inequalities and their application to stability of delayed systems.International Journal of Innovative Computing, In, 2018, 14 (5) : 1805-1832.
[4]Jing Li, Xin-Ge Liu？, Feng-Xian Wang.Synchronization analysis for fractional non-autonomous neural networks by a Halanay inequality .Neurocomputing, 2018, 314: 20–29.
[5]Sai-Bing Qiu., Feng-Xian Wang, Xin-Ge Liu*, Yan-Jun Shu.Exponential input-to-state stability of stochastic neural networks with mixed delays .International Journal of Machine Learning and Cyb, 2018, 9: 807–819.
[6]Yan-Jun Shu, Feng-Xian Wang, Xin-Ge Liu*, Sai-Bing Qiu.Robust stability analysis for uncertain recurrent neural networks with leakage delay based on delay-partitioning approach.Neural Computing and Applications, 2018, 30 (1) : 211–222.
[7]Mu-Zhou Hou, Mei-Lan Tang, Xin-Ge Liu*, Feng-Xian Wang.Improved integral inequalities for stability analysis of delayed neural networks.Neurocomputing, 2018, 273: 178-189.
[8]Mei-Lan Tang, Feng-Xian Wang*, Xin-Ge Liu.Auxiliary function-based summation inequalities and their applications to discrete-time system.Automatica, 2017, 78: 211–215.
[9]Fengxian Wang, Saibing Qiu, Xin-Ge Liu*, Yanjun Shu.Dissipativity analysis for generalized neural networks with Markovian jump parameters and time-varying delay.Nonlinear Dynamics, 2017, 89 (3) : 2125-2140.
[10]Yajuan Liu Ju H. Park, Xin-Ge Liu*, Yanjun Shu.Improved results on guaranteed generalized H2 performance state estimation for delayed static neural networks .Circuits, Systems and Signal Processing, 2017, 36 (8) : 3114–3142.
[11]Saibing Qiu, FengxianWang　, Xinge Liu*, Yanjun Shu.Further results on exponential stability of　discrete-time BAM neural networks with　time-varying delays.Mathematical Methods in the Applied Sciences, 2017, 40 (11) : 4014-4027.
[12]　Fengxian Wang, Meilan Tang, Xinge Liu*, Xiaofan Liu.Improved exponential stability criterion for neural networks with time-varying　delay.Neurocomputing, 2017, 234: 154–163.
[13]Sai-Bing Qiu, Mei-Lan Tang, Feng-Xian Wang, Xin-Ge Liu.Stability and synchronization analysis of neural networks via Halanay-type inequality.Journal of Computational and Applied Mathematics, 2017, 319: 14–23.
[14]Yajuan Liu, XingeLiu*, Yanjun Shu.Stability and passivity analysis for uncertain discrete-time neural networks with time-varying delay.Neurocomputing, 2016, 173 (2016) : 1706–1714.
[15]Yan-Jun Shu, Feng-Xian Wang, Xin-Ge Liu.A novel summation inequality for stability analysis of discrete-time neural networks.Journal of Computational and Applied Mathematics, 2016, 304: 160–171.
[16]Xinge Liu*, Yanjun Shu.Improved results onH∞ state estimation of static neural networks with interval time-varying delay.Journal of Inequalities and Applications, 2016, 2016 (48) : 1－16.
[17]Yan-Jun Shu, Mei-Lan Tang, Xin-Ge Liu*, Feng-Xian Wang.Stability analysis of discrete-time systems with variable delays via some new summation inequalities.Advances in Difference Equations, 2016, 2016 (95) : 1-20.
[18]Yan-Jun Shu, Xin-Ge Liu*, Sai-Bing Qiu.A study on state estimation for discrete-time recurrent neural networks with leakage delay and time-varying delay.Advances in Difference Equations, 2016, 234: 1-18.
[19]Xin_Bi Liu, R.R. Martin, Mei-Lan Tang*, Xin-Ge Liu.Discrete-time BAM neural networks with variable delays.Physics Letters A, 2007, 367: 322-330.
[20]M.L. Tang, R.R. Martin, M. Wu, Xin-Ge Liu.Delay-dependent stability analysis for uncertain neutral systems with time-varying delays.Mathematics and Computers in Simulation, 2007, 75: 15–27.

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Xin-Ge Liu