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  1. Robust dissipativity and passivity analysis for discrete-time stochastic neural networks with time-varying delay.G. Nagamani, S. Ramasamy & P. Balasubramaniam - 2016 - Complexity 21 (3):47-58.
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  • 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.
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  • Observer-based dissipative control for networked control systems: A switched system approach.Kalidass Mathiyalagan, Ju H. Park & Rathinasamy Sakthivel - 2016 - Complexity 21 (2):297-308.
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  • 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.
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