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For: Tian Y, Wang Z. Stability analysis for delayed neural networks based on the augmented Lyapunov-Krasovskii functional with delay-product-type and multiple integral terms. Neurocomputing 2020. [DOI: 10.1016/j.neucom.2020.05.045] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Number Cited by Other Article(s)
1
Liu F, Guo W, Zou R, Liu K. A general quadratic negative-determination lemma for stability analysis of delayed neural networks. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.06.040] [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]
2
Tian Y, Wang Z. Stability analysis of delayed neural networks: An auxiliary matrix-based technique. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.04.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
3
Stability analysis of delayed neural network based on the convex method and the non-convex method. Neurocomputing 2022. [DOI: 10.1016/j.neucom.2022.02.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
4
Shi C, Hoi K, Vong S. Free-weighting-matrix inequality for exponential stability for neural networks with time-varying delay. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.09.028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
5
Enhanced Stability Criteria of Network-Based Load Frequency Control of Power Systems with Time-Varying Delays. ENERGIES 2021. [DOI: 10.3390/en14185820] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
6
Liu CG, Wang JL. Passivity of fractional-order coupled neural networks with multiple state/derivative couplings. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2021.05.050] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
7
Tian Y, Wang Z. Extended Dissipativity Analysis for Markovian Jump Neural Networks via Double-Integral-Based Delay-Product-Type Lyapunov Functional. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2021;32:3240-3246. [PMID: 32701455 DOI: 10.1109/tnnls.2020.3008691] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
8
Tian Y, Wang Z. Extended dissipative state estimation for static neural networks via delay-product-type functional. Neurocomputing 2021. [DOI: 10.1016/j.neucom.2020.12.107] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
9
Convergence of Batch Gradient Method Based on the Entropy Error Function for Feedforward Neural Networks. Neural Process Lett 2020. [DOI: 10.1007/s11063-020-10374-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
10
Adaptive Synchronization of Complex Dynamical Networks via Distributed Pinning Impulsive Control. Neural Process Lett 2020. [DOI: 10.1007/s11063-020-10373-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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