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A delay decomposition approach for robust dissipativity and passivity analysis of neutral-type neural networks with leakage time-varying delay
Complexity 21 (5):248-264 (2016)
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Nonfragile passivity and passification of nonlinear singular networked control systems with randomly occurring controller gain fluctuation.Aichuan Li & Bin Liu - 2016 - Complexity 21 (S1):200-210.
Dissipative sampled-data control of uncertain nonlinear systems with time-varying delays.P. Selvaraj, R. Sakthivel, S. Marshal Anthoni, M. Rathika & Mo Yong-Cheol - 2016 - Complexity 21 (6):142-154.
Nonlinear measure approach for the robust exponential stability analysis of interval inertial Cohen-Grossberg neural networks.Ruoxia Li, Jinde Cao, Ahmed Alsaedi, Bashir Ahmad, Fuad E. Alsaadi & Tasawar Hayat - 2016 - Complexity 21 (S2):459-469.
References found in this work
State estimation of memristor‐based recurrent neural networks with time‐varying delays based on passivity theory.R. Rakkiyappan, A. Chandrasekar, S. Laksmanan & Ju H. Park - 2014 - Complexity 19 (4):32-43.
Exponential state estimator design for discrete-time neural networks with discrete and distributed time-varying delays.Qihui Duan, Ju H. Park & Zheng-Guang Wu - 2014 - Complexity 20 (1):38-48.
Robust Stability Criterion for Discrete-Time Nonlinear Switched Systems with Randomly Occurring Delays via T-S Fuzzy Approach.P. Balasubramaniam & L. Jarina Banu - 2015 - Complexity 20 (6):49-61.
Robust sampled-dataH∞control for mechanical systems.Rathinasamy Sakthivel, Arumugham Arunkumar & Kalidass Mathiyalagan - 2015 - Complexity 20 (4):19-29.
Multiple-interval-dependent robust stability analysis for uncertain stochastic neural networks with mixed-delays.Jianwei Xia, Ju H. Park & Hao Shen - 2016 - Complexity 21 (1):147-162.
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