H_∞ state estimation for discrete memristive neural networks with signal quantization and probabilistic time delay

Figures & data

Figure 1. The variation of the time-varying delay $\tau \left(k\right)$.

Figure 2. State $x_1\left(k\right)$ and its estimation ${\hat{x}}_1\left(k\right)$.

Figure 3. State $x_2\left(k\right)$ and its estimation ${\hat{x}}_2\left(k\right)$.

Figure 4. Estimation error of $e_1\left(k\right)$ and $e_2\left(k\right)$.