Theory and Modern Applications
From: Mode-dependent delays for dissipative filtering of stochastic semi-Markovian jump for neural networks
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
\((3s+1)n^{2}+(2s+1)n\)