Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject redundant channels
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 18-Aug-2020 | Partial-neurons-based state estimation for delayed neural networks with state-dependent noises under redundant channels | Liu, S; Wang, Z; Shen, B; Wei, G |
| 14-Apr-2021 | Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms | Li, Q; Wang, Z; Hu, J; Sheng, W |