.png){kind=icon}
.png){kind=icon}
Return
State prediction using a high-gain distributed scheme
.png){kind=icon}
OA
AI
DOI：10.1016/j.automatica.2025.112219.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Time delays pose unique challenges in control engineering, as inherent delays can introduce instabilities and compromise system performance. To overcome these complexities, the concept of predictors or compensators has been instrumental in stabilising closed-loop systems. Still, it requires an accurate delayed state estimation through the design and implementation of predictors. In this paper, we delve into the design of novel prediction architectures tailored to nonlinear systems with input and output delays that not only ensure stability but also bolster robustness, emphasising their ability to preserve stability despite measurement noises or external perturbations. (c) 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords:
Time-delay systems
Nonlinear systems
Observer-predictor
Stability analysis
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.