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Theory and Modern Applications

Table 1 Maximum upper bound for delays \(\tau _{2}=d\) with different μ (\(\mu _{1}=\mu _{2}\))

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

 

Theorem 3.1

 

μ = 0

μ = 0.25

μ = 0.5

μ = 0.75

μ = 0.8

μ = 0.9

\(\tau _{1}=0.1\)

0.4864

0.4531

0.4091

0.3336

0.3117

0.2363

\(\tau _{1}=0.2\)

0.4931

0.4552

0.4298

0.3534

0.3312

0.2823

\(\tau _{1}=0.3\)

0.5013

0.4685

0.4362

0.3827

0.3564

0.3495

\(\tau _{1}=0.4\)

0.5052

0.4852

0.4431

0.4316

0.4206

0.4062

\(\tau _{1}=0.5\)

0.5074

0.5044

0.4835

0.4416

0.4301

0.4189