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For: 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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]

For:	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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]

Number	Cited by Other Article(s)
1	Gao Y, Hu J, Yu H, Du J, Jia C. Variance-Constrained Resilient $$H_{\infty }$$ State Estimation for Time-Varying Neural Networks with Random Saturation Observation Under Uncertain Occurrence Probability. Neural Process Lett 2023. [DOI: 10.1007/s11063-022-11078-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
2	Gunasekaran N, Ali MS, Arik S, Ghaffar HA, Diab AAZ. Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal. Neural Netw 2022;149:137-145. [DOI: 10.1016/j.neunet.2022.02.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 02/11/2022] [Accepted: 02/14/2022] [Indexed: 12/14/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
3	$$H_\infty $$ State Estimation for Round-Robin Protocol-Based Markovian Jumping Neural Networks with Mixed Time Delays. Neural Process Lett 2021. [DOI: 10.1007/s11063-021-10598-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
4	Design of Stochastic Passivity and Passification for Delayed BAM Neural Networks with Markov Jump Parameters via Non-uniform Sampled-Data Control. Neural Process Lett 2021. [DOI: 10.1007/s11063-020-10394-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
5	Qu Y, Pang K. State estimation for a class of artificial neural networks subject to mixed attacks: A set-membership method. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.06.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse