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For: Zheng B, Wang Z. Adaptive synchronization of fractional-order complex-valued coupled neural networks via direct error method. Neurocomputing 2022;486:114-22. [DOI: 10.1016/j.neucom.2021.11.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]

For:	Zheng B, Wang Z. Adaptive synchronization of fractional-order complex-valued coupled neural networks via direct error method. Neurocomputing 2022;486:114-22. [DOI: 10.1016/j.neucom.2021.11.015] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]

Number	Cited by Other Article(s)
1	Lin YT, Wang JL, Liu CG. Output synchronization analysis and PD control for coupled fractional-order neural networks with multiple weights. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.11.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
2	Chen S, Li HL, Bao H, Zhang L, Jiang H, Li Z. Global Mittag–Leffler stability and synchronization of discrete-time fractional-order delayed quaternion-valued neural networks. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.09.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse
3	Finite-Time Projective Synchronization and Parameter Identification of Fractional-Order Complex Networks with Unknown External Disturbances. FRACTAL AND FRACTIONAL 2022. [DOI: 10.3390/fractalfract6060298] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Abstract This paper is devoted to exploring the finite-time projective synchronization (FTPS) of fractional-order complex dynamical networks (FOCDNs) with unknown parameters and external disturbances. Based on the stability theory of fractional-order differential systems, synchronization criteria between drive-response networks were obtained and both the uncertain parameters and external disturbances were identified or conquered simultaneously. Moreover, the upper limit of the settling-time function was obtained. Finally, a numerical example was given to verify the effectiveness of the results. Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse