Synchronization sampled-data control of uncertain neural networks under an asymmetric Lyapunov–Krasovskii functional method
This paper investigates the synchronization control of neural networks (NNs) considering
parameter uncertainties by utilizing an improved asymmetric Lyapunov–Krasovskii …
parameter uncertainties by utilizing an improved asymmetric Lyapunov–Krasovskii …
State estimation of static neural networks with mixed delays: A new parameterized delay interval approach
H Liu, W Qian, Y Zhao - Journal of the Franklin Institute, 2023 - Elsevier
This work concerns with the issue of H∞ state estimation for static neural networks with both
leakage delay and time-varying delay. First, a new parameterized delay interval approach is …
leakage delay and time-varying delay. First, a new parameterized delay interval approach is …
Improved results on stability and performance analysis for discrete-time neural networks with time-varying delay
Q Chen, X Liu, P Guo, H Liu, X Li - Computational and Applied …, 2022 - Springer
In this paper, to develop less conservative delay-dependent stability criterion and the
method for H∞ performance analysis, the problem of stability and H∞ performance for …
method for H∞ performance analysis, the problem of stability and H∞ performance for …