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Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay

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Complexity 21 (3):47-58 (2016)

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  1. Fault-tolerant sampled-data mixed ℋ∞and passivity control of stochastic systems and its application.Maya Joby,R. Sakthivel,K. Mathiyalagan &S. Marshal Anthoni -2016 -Complexity 21 (6):420-429.
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  • Nonlinear system identification using quasi-arx rbfn models with a parameter-classified scheme.Lan Wang,Yu Cheng,Jinglu Hu,Jinling Liang &Abdullah M. Dobaie -2017 -Complexity:1-12.
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  • 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.
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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.
  • Robust state estimation for Markov jump genetic regulatory networks based on passivity theory.Li Lu,Bing He,Chuntao Man &Shun Wang -2016 -Complexity 21 (5):214-223.
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  • Adaptive Fuzzy Control for Stochastic Pure-Feedback Nonlinear Systems with Unknown Hysteresis and External Disturbance.Xikui Liu,Yingying Ge &Yan Li -2018 -Complexity 2018:1-11.
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  • Dissipative analysis for discrete-time systems via fault-tolerant control against actuator failures.Thangavel Saravanakumar,Rathinasamy Sakthivel,Palanisamy Selvaraj &Selvaraj Marshal Anthoni -2016 -Complexity 21 (S2):579-592.
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