Synchronization of Chaotic Delayed Neural Networks via Impulsive Control

Table 1

When the impulsive matrix 𝑊_𝑘 is given, sup_𝑘{𝑡_𝑘−𝑡_𝑘−1}, 𝑘∈ℕ corresponding to different (𝜃₃, 𝜃₄) and algorithms.

(𝑊𝑘, Algorithms)	(𝜃3, 𝜃4)
	(0.1,0.1)	(0.3,0.3)	(0.5,0.5)	(0.7,0.7)	(0.9,0.9)
(𝑊𝑘=−1.1𝐼, (31))	0.0202	0.0288	0.0305	0.0356	0.0369
(𝑊𝑘=−1.1𝐼, (32))	2.8349𝑒−4	1.0980𝑒−4	5.3202𝑒−4	7.2925𝑒−4	8.9236𝑒−4
(𝑊𝑘=−1.3𝐼, (31))	0.0310	0.0401	0.0490	0.0718	0.0701
(𝑊𝑘=−1.3𝐼, (32))	0.0025	0.0163	0.0200	0.0259	0.0259
(𝑊𝑘=−1.5𝐼, (31))	0.0175	0.0266	0.0335	0.0483	0.0516
(𝑊𝑘=−1.5𝐼, (32))	0.0058	0.0094	0.0122	0.0023	0.0022
(𝑊𝑘=−1.7𝐼, (31))	0.0088	0.0168	0.0213	0.0245	0.0261
(𝑊𝑘=−1.7𝐼, (32))	0.0027	0.0020	9.4549𝑒−04	0.0056	0.0059
(𝑊𝑘=−1.9𝐼, (31))	0.0029	0.0057	0.0074	0.0093	0.0089
(𝑊𝑘=−1.9𝐼, (32))	2.7931𝑒−04	0.0011	0.0015	0.0019	0.0016