Global Exponential Stability of Antiperiodic Solution for Impulsive High-Order Hopfield Neural Networks

Figure 1

Numerical solutions 𝑥(𝑡)=(𝑥₁(𝑡),𝑥₂(𝑡))^𝑇 of system (44) for initial value 𝜑(𝑡)≡(10,−13)^𝑇, (−10,13)^𝑇, (0,0)^𝑇, 𝑡∈(−∞,0].

(a)

(b)