Mode-dependent delays for dissipative filtering of stochastic semi-Markovian jump for neural networks

Advances in Continuous and Discrete Models

Theory and Modern Applications

Table 1 Maximum allowable upper bound delay

	ħ̄ = 1	ħ̄ = 1.5	ħ̄ = 2	ħ̄ = 2.5	ħ̄ = 4.5	No. of decision variables
Theorem 3.1 [36]	3.5462	3.3981	3.1542	2.9584	–	\(8.5n^{2}+10.5n+2\)
Theorem 2	5.8661	5.6971	5.4361	5.2657	5.1124	\((3s+1)n^{2}+(2s+1)n\)