Ultimate Boundedness of Discrete-Time Uncertain Neural Networks with Leakage and Time-Varying Delays
Journal of Advances in Mathematics and Computer Science · pp. 97–109 · Published 14 Aug 2021
10.9734/jamcs/2021/v36i630377Abstract
In this paper, by using the general discrete Halanay inequalities, the techniques of inequalities and some other properties, we study the ultimate boundedness of a class of the discrete-time uncertain neural network systems and obtain several sufficient conditions to ensure the ultimate boundedness of discrete-time uncertain neural networks with leakage and time-varying delays. Finally numerical examples are given to verify the correctness of the conclusion.
Cited by 0
No indexed citations yet.
Related research
- Assessment of Uncertainty in Flood Flows under Climate Change Impacts in the Upper Thames River Basin, Canada — shares topic coverage
- Seismic Vulnerability Assessment in Tunnels: A Review — shares topic coverage
- Problem of Investment Analysis Occasioned by the Uncertainty of Factor Elements in Imo State, Nigeria — shares topic coverage
- Reliability of Argon Triple Point Cells Materializing the ITS-90 Temperature Fixed Point — shares topic coverage
- “Uncertainty Relations” in the Group-theoretic Scheme of Quantum Mechanics — shares topic coverage
Article metrics
Real usage data collected on this platform.
14
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views over time
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
Traffic sources
Referring site, by host.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.