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Theory and Modern Applications

Table 1 Allowable upper bounds of h for different μ in Example 1

From: On extended dissipativity analysis for neural networks with time-varying delay and general activation functions

μ

μ  = 0.8

μ  = 0.9

[9]

2.8854

1.9631

[10]

3.0604

1.9956

[11]

3.0640

2.0797

[12]

7.5173

5.3993

[41]

7.9008

5.6440

Theorem 3.1

8.2046

5.8347