观察员(物理)
迭代法
数学
线性系统
控制理论(社会学)
区间(图论)
可达性
算法
数学优化
应用数学
计算机科学
数学分析
物理
组合数学
人工智能
量子力学
控制(管理)
作者
Mouquan Shen,Tu Zhang,Ju H. Park,Qing‐Guo Wang,Liwei Li
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2022-01-01
卷期号:: 1-8
被引量:15
标识
DOI:10.1109/tac.2022.3203226
摘要
An iterative proportional-integral interval estimation strategy for linear discrete-time systems is investigated in this paper. A sequence iterative proportional-integral observers are built on system output and unknown disturbance iterative estimation. With the help of a structure separation technique, a sufficient condition in terms of linear matrix inequality is proposed to make the observer error system be asymptotically stable. The boundary reachability of the observer error system is analyzed via zonotope. Zonotope-based iterative algorithms with and without the output integral are built to generate estimated state intervals. Compared with the existing result, the proposed algorithms render tighter estimation intervals illustrated by a simulation study.
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