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Passivity analysis for neural networks with a time-varying delay.

, , , and . Neurocomputing, 74 (5): 730-734 (2011)

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Passivity analysis for neural networks with a time-varying delay., , , and . Neurocomputing, 74 (5): 730-734 (2011)New stability criteria for recurrent neural networks with a time-varying delay., , and . Int. J. Autom. Comput., 8 (1): 128-133 (2011)New results on stability analysis of systems with time-varying delays using a generalized free-matrix-based inequality., , , and . J. Frankl. Inst., 356 (13): 7312-7321 (2019)A new Lyapunov functional approach to sampled-data synchronization control for delayed neural networks., , , , and . J. Frankl. Inst., 355 (17): 8857-8873 (2018)Stability analysis of generalized neural networks with time-varying delays via a new integral inequality., , , and . Neurocomputing, (2015)The Adoption of Digital Information Products: an Integration of Network effect and bandwagon effect., , , and . PACIS, page 136. (2014)Further results on sampled-data synchronization control for chaotic neural networks with actuator saturation., , , , and . Neurocomputing, (2019)Improved delay-dependent stability criteria for T-S fuzzy systems with time-varying delay., , , and . Appl. Math. Comput., (2014)Dissipativity analysis of neural networks with time-varying delays., , , , and . Neurocomputing, (2015)New Results on Stability Analysis for Sampled-Data Control Systems With Nonuniform Sampling and Communication Delays., , , and . IEEE Access, (2020)