Name
Title | ||
|---|---|---|
Robust Output Feedback Stabilization for Uncertain Discrete-Time Stochastic Neural Networks with Time-Varying Delay |
Abstract | ||
|---|---|---|
This paper investigates the problem of robust exponential stabilization of uncertain discrete-time stochastic neural networks with time-varying delay based on output feedback control. By choosing an augmented Lyapunov–Krasovskii functional, we established the sufficient conditions of the delay-dependent asymptotical stabilization in the mean square for a class of discrete-time stochastic neural networks with time-varying delay. Furthermore, we obtain the criteria of robust global exponential stabilization in the mean square for uncertain discrete-time stochastic neural networks with time-varying delay. Finally, we give numerical examples to illustrate the effectiveness of the proposed results. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11063-019-10077-x | Neural Processing Letters |
Keywords | Field | DocType |
Discrete-time stochastic neural networks, Exponentially stabization, Output feedback control, Lyapunov–Krasovskii functional, Time-varying delay | Mean square,Pattern recognition,Control theory,Stochastic neural network,Exponential stabilization,Artificial intelligence,Discrete time and continuous time,Mathematics | Journal |
Volume | Issue | ISSN |
51 | 1 | 1370-4621 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yali Dong | 1 | 6 | 1.78 |
| Huimin Wang | 2 | 3 | 1.82 |