Adhira, B.; Nagamani, G.; Soundararajan, G. Exponential extended dissipative performance for delayed discrete-time neural networks under memoryless resilient-based observer design. (English) Zbl 1492.93146 J. Franklin Inst. 359, No. 11, 5750-5777 (2022). MSC: 93D23 93C55 93C43 93B70 93B53 PDFBibTeX XMLCite \textit{B. Adhira} et al., J. Franklin Inst. 359, No. 11, 5750--5777 (2022; Zbl 1492.93146) Full Text: DOI
Nagamani, G.; Joo, Young Hoon; Radhika, T. Delay-dependent dissipativity criteria for Markovian jump neural networks with random delays and incomplete transition probabilities. (English) Zbl 1392.93041 Nonlinear Dyn. 91, No. 4, 2503-2522 (2018). MSC: 93D05 92B20 34B45 PDFBibTeX XMLCite \textit{G. Nagamani} et al., Nonlinear Dyn. 91, No. 4, 2503--2522 (2018; Zbl 1392.93041) Full Text: DOI
Nagamani, G.; Radhika, T.; Gopalakrishnan, P. Dissipativity and passivity analysis of Markovian jump impulsive neural networks with time delays. (English) Zbl 1372.34116 Int. J. Comput. Math. 94, No. 7, 1479-1500 (2017). Reviewer: Angela Slavova (Sofia) MSC: 34K25 92B20 34K20 34K45 34K50 PDFBibTeX XMLCite \textit{G. Nagamani} et al., Int. J. Comput. Math. 94, No. 7, 1479--1500 (2017; Zbl 1372.34116) Full Text: DOI
Ramasamy, S.; Nagamani, G.; Zhu, Quanxin Robust dissipativity and passivity analysis for discrete-time stochastic T-S fuzzy Cohen-Grossberg Markovian jump neural networks with mixed time delays. (English) Zbl 1349.93251 Nonlinear Dyn. 85, No. 4, 2777-2799 (2016). MSC: 93C42 68T05 93D21 PDFBibTeX XMLCite \textit{S. Ramasamy} et al., Nonlinear Dyn. 85, No. 4, 2777--2799 (2016; Zbl 1349.93251) Full Text: DOI
Nagamani, G.; Radhika, T. A quadratic convex combination approach on robust dissipativity and passivity analysis for Takagi-Sugeno fuzzy Cohen-Grossberg neural networks with time-varying delays. (English) Zbl 1342.92021 Math. Methods Appl. Sci. 39, No. 13, 3880-3896 (2016). MSC: 92B20 34A37 PDFBibTeX XMLCite \textit{G. Nagamani} and \textit{T. Radhika}, Math. Methods Appl. Sci. 39, No. 13, 3880--3896 (2016; Zbl 1342.92021) Full Text: DOI
Nagamani, G.; Radhika, T. Dissipativity and passivity analysis of T-S fuzzy neural networks with probabilistic time-varying delays: a quadratic convex combination approach. (English) Zbl 1348.93183 Nonlinear Dyn. 82, No. 3, 1325-1341 (2015). MSC: 93C42 93C83 90C20 90C25 PDFBibTeX XMLCite \textit{G. Nagamani} and \textit{T. Radhika}, Nonlinear Dyn. 82, No. 3, 1325--1341 (2015; Zbl 1348.93183) Full Text: DOI
Vembarasan, V.; Nagamani, G.; Balasubramaniam, P.; Park, Ju H. State estimation for delayed genetic regulatory networks based on passivity theory. (English) Zbl 1280.92018 Math. Biosci. 244, No. 2, 165-175 (2013). MSC: 92C42 92D10 92C40 62P10 15A45 92-08 PDFBibTeX XMLCite \textit{V. Vembarasan} et al., Math. Biosci. 244, No. 2, 165--175 (2013; Zbl 1280.92018) Full Text: DOI
Lakshmanan, S.; Park, Ju H.; Ji, D. H.; Jung, H. Y.; Nagamani, G. State estimation of neural networks with time-varying delays and Markovian jumping parameter based on passivity theory. (English) Zbl 1268.92012 Nonlinear Dyn. 70, No. 2, 1421-1434 (2012). MSC: 92B20 60J20 15A45 34K35 PDFBibTeX XMLCite \textit{S. Lakshmanan} et al., Nonlinear Dyn. 70, No. 2, 1421--1434 (2012; Zbl 1268.92012) Full Text: DOI