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For: Men Y, Huang X, Wang Z, Shen H, Chen B. Quantized asynchronous dissipative state estimation of jumping neural networks subject to occurring randomly sensor saturations. Neurocomputing 2018;291:207-14. [DOI: 10.1016/j.neucom.2018.02.071] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Number Cited by Other Article(s)
1
Suo J, Li N, Li Q. Event-triggered H state estimation for discrete-time delayed switched stochastic neural networks with persistent dwell-time switching regularities and sensor saturations. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.01.131] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
2
State estimation of Markov jump neural networks with random delays by redundant channels. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.09.081] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
3
Wang Z, Cao J, Cai Z, Tan X, Chen R. Finite-time synchronization of reaction-diffusion neural networks with time-varying parameters and discontinuous activations. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.02.065] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
4
An event-triggered recursive state estimation approach for time-varying nonlinear complex networks with quantization effects. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.09.074] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
5
Song X, Wang M, Ahn CK, Song S. Finite-Time [Formula: see text] Asynchronous Control for Nonlinear Markov Jump Distributed Parameter Systems via Quantized Fuzzy Output-Feedback Approach. IEEE TRANSACTIONS ON CYBERNETICS 2020;50:4098-4109. [PMID: 31502999 DOI: 10.1109/tcyb.2019.2936827] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
6
Hu X, Xia J, Chen X, Huang X, Shen H. Non-fragile l2-l synchronization for switched inertial neural networks with random gain fluctuations: A persistent dwell-time switching law. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.03.112] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
7
Shen L, Xia J, Wang Y, Huang X, Shen H. HMM-based H∞ state estimation for memristive jumping neural networks subject to fading channel. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.02.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
8
Li HL, Jiang H, Cao J. Global synchronization of fractional-order quaternion-valued neural networks with leakage and discrete delays. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2019.12.018] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
9
Song X, Man J, Song S, Lu J. Integral sliding mode synchronization control for Markovian jump inertial memristive neural networks with reaction–diffusion terms. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2019.10.047] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
10
Dai M, Xia J, Xia H, Shen H. Event-triggered passive synchronization for Markov jump neural networks subject to randomly occurring gain variations. Neurocomputing 2019. [DOI: 10.1016/j.neucom.2018.11.011] [Citation(s) in RCA: 74] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
11
Shen L, Shen H, Gao M, Liu Y, Huang X. $$H_{\infty }$$ H ∞ State Estimation for Stochastic Jumping Neural Networks with Fading Channels Over a Finite-Time Interval. Neural Process Lett 2018. [DOI: 10.1007/s11063-018-9907-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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