Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 5 Maximum upper bound of \(\tau _{2}\) for different values of \(\mu _{1}\) (Example 5)

From: Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach

Methods	\(\mu _{1}=0\)	\(\mu _{1}=0.5\)	\(\mu _{1}=0.7\)
[39]	0.4528	0.3638	0.3575
[36]	0.6837	0.5285	0.4377
[42]	0.7340	0.6834	0.6355
[25]	0.8541	0.7438	0.6821
Corollary 3.5 [N = 2]	1.1284	1.0236	0.9532

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