Enhanced Interval State Estimation for Uncertain Systems
Journal Title: Journal of Intelligent Systems and Control - Year 2024, Vol 3, Issue 1
Abstract
The quality of state estimation in uncertain systems exerts a significant impact on the performance of control systems. Within these uncertain systems, set-valued mappings introduce output uncertainties, complicating the design of observers. This study maps the output error of uncertain systems to the nonlinear terms of a framer , thereby extending the Luenberger framer. An interval observer design method for uncertain systems is proposed, leveraging monotone system theory to analyze the coherence of the error system. The effectiveness of the algorithm is validated through simulation examples.
Authors and Affiliations
Zhaoxia Huang, Meng Liu, Wanting Dou, Dantong Yang, Xinyu Li, Jiayu Zhang, Ying Wang
Keywords
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- EP ID EP735207
- DOI https://doi.org/10.56578/jisc030103
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