Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 1 Maximum allowable upper bounds \(\tau=h=d\) for different values of μ

From: Exponential passivity conditions on neutral stochastic neural networks with leakage delay and partially unknown transition probabilities in Markovian jump

	μ
	0	0.3	0.5	0.6
Case I	3.1379	2.6924	2.2117	1.8586
Case II	80.70	79.5125	78.3868	77.6650

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