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For: Huang H, Feng G. State estimation of recurrent neural networks with time-varying delay: A novel delay partition approach. Neurocomputing 2011;74:792-6. [DOI: 10.1016/j.neucom.2010.10.006] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Number Cited by Other Article(s)
1
Gunasekaran N, Ali MS, Pavithra S. Finite-Time $$L_\infty $$ Performance State Estimation of Recurrent Neural Networks with Sampled-Data Signals. Neural Process Lett 2019. [DOI: 10.1007/s11063-019-10114-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
2
Syed Ali M, Gunasekaran N, Joo YH. Sampled-Data State Estimation of Neutral Type Neural Networks with Mixed Time-Varying Delays. Neural Process Lett 2018. [DOI: 10.1007/s11063-018-9946-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
3
Zhu X, Yang X, Alsaadi FE, Hayat T. Fixed-Time Synchronization of Coupled Discontinuous Neural Networks with Nonidentical Perturbations. Neural Process Lett 2017. [DOI: 10.1007/s11063-017-9770-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
4
Aouiti C, Coirault P, Miaadi F, Moulay E. Finite time boundedness of neutral high-order Hopfield neural networks with time delay in the leakage term and mixed time delays. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2017.04.048] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
5
Li Y, Deng F, Li G, Jiao L. Robust $$H_\infty$$ H ∞ filtering for uncertain discrete-time stochastic neural networks with Markovian jump and mixed time-delays. INT J MACH LEARN CYB 2017. [DOI: 10.1007/s13042-017-0651-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
6
Shi K, Liu X, Tang Y, Zhu H, Zhong S. Some novel approaches on state estimation of delayed neural networks. Inf Sci (N Y) 2016. [DOI: 10.1016/j.ins.2016.08.064] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
7
Syed Ali M, Gunasekaran N, Kwon OM. Delay-dependent $${\mathcal {H}}_\infty$$ H ∞ performance state estimation of static delayed neural networks using sampled-data control. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2671-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
8
Qiu SB, Liu XG, Wang FX, Shu YJ. Robust stability analysis for uncertain recurrent neural networks with leakage delay based on delay-partitioning approach. Neural Comput Appl 2016. [DOI: 10.1007/s00521-016-2670-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
9
Rakkiyappan R, Dharani S, Cao J. Synchronization of Neural Networks With Control Packet Loss and Time-Varying Delay via Stochastic Sampled-Data Controller. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2015;26:3215-3226. [PMID: 25966486 DOI: 10.1109/tnnls.2015.2425881] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
10
Hua M, Tan H, Fei J. State estimation for uncertain discrete-time stochastic neural networks with Markovian jump parameters and time-varying delays. INT J MACH LEARN CYB 2015. [DOI: 10.1007/s13042-015-0373-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
11
Park M, Kwon O, Park JH, Lee S, Cha E. H state estimation for discrete-time neural networks with interval time-varying delays and probabilistic diverging disturbances. Neurocomputing 2015. [DOI: 10.1016/j.neucom.2014.11.029] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
12
Sakthivel R, Vadivel P, Mathiyalagan K, Arunkumar A, Sivachitra M. Design of state estimator for bidirectional associative memory neural networks with leakage delays. Inf Sci (N Y) 2015. [DOI: 10.1016/j.ins.2014.10.063] [Citation(s) in RCA: 107] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
13
Zhang D, Cai W, Wang QG. Mixed H∞ and passivity based state estimation for fuzzy neural networks with Markovian-type estimator gain change. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2014.02.025] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
14
Park M, Kwon O, Park JH, Lee S, Son J, Cha E. consensus performance for discrete-time multi-agent systems with communication delay and multiple disturbances. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2014.01.044] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
15
Wei H, Li R, Chen C. State estimation for memristor-based neural networks with time-varying delays. INT J MACH LEARN CYB 2014. [DOI: 10.1007/s13042-014-0257-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
16
Robust state estimation for discrete-time BAM neural networks with time-varying delay. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2013.10.027] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
17
Duan J, Hu M, Yang Y, Guo L. A delay-partitioning projection approach to stability analysis of stochastic Markovian jump neural networks with randomly occurred nonlinearities. Neurocomputing 2014. [DOI: 10.1016/j.neucom.2013.08.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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