Design of generalized dissipativity state estimator for static neural networks including state time delays and leakage delays - researchr publication related

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R. Manivannan, Yang Cao 0003. Design of generalized dissipativity state estimator for static neural networks including state time delays and leakage delays. J. Franklin Institute, 355(9):3990-4014, 2018. [doi]

The following publications are possibly variants of this publication:

Unified dissipativity state estimation for delayed generalized impulsive neural networks with leakage delay effectsR. Manivannan, Yang Cao 0003, Kil To Chong. kbs, 254:109630, 2022. [doi]

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Design of extended dissipativity state estimation for generalized neural networks with mixed time-varying delay signalsRaman Manivannan, Rajendran Samidurai, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi. isci, 424:175-203, 2018. [doi]

An Arcak-type state estimation design for time-delayed static neural networks with leakage term based on unified criteriaRaman Manivannan, S. Panda, Kil To Chong, Jinde Cao. NN, 106:110-126, 2018. [doi]

Enhanced L2-L∞ state estimation design for delayed neural networks including leakage term via quadratic-type generalized free-matrix-based integral inequalityJinde Cao, Raman Manivannan, Kil To Chong, Xiaoxiao Lv. jfi, 356(13):7371-7392, 2019. [doi]

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