Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: 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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]

For:	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] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]

Number	Cited by Other Article(s)
1	Liu W, Yang X, Rakkiyappan R, Li X. Dynamic analysis of delayed neural networks: Event-triggered impulsive Halanay inequality approach. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.04.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
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] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
3	Non-fragile H∞ state estimation for nonlinear networked system with probabilistic diverging disturbance and multiple missing measurements. Neurocomputing 2017. [DOI: 10.1016/j.neucom.2016.12.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
4	Ding S, Wang Z, Wang J, Zhang H. H∞state estimation for memristive neural networks with time-varying delays: The discrete-time case. Neural Netw 2016;84:47-56. [DOI: 10.1016/j.neunet.2016.08.002] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2016] [Revised: 07/28/2016] [Accepted: 08/08/2016] [Indexed: 10/21/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
5	Mathiyalagan K, Park JH, Sakthivel R. Novel results on robust finite-time passivity for discrete-time delayed neural networks. Neurocomputing 2016. [DOI: 10.1016/j.neucom.2015.10.125] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
6	Nagamani G, Ramasamy S, Meyer-Baese A. Robust dissipativity and passivity based state estimation for discrete-time stochastic Markov jump neural networks with discrete and distributed time-varying delays. Neural Comput Appl 2015. [DOI: 10.1007/s00521-015-2100-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse