Iterative proportional-integral interval estimation of linear discrete-time systems
نویسندگان
چکیده
An iterative proportional-integral interval estimation strategy for linear discrete-time systems is investigated in this paper. A sequence observers are built on system output and unknown disturbance estimation. With the help of a structure separation technique, sufficient condition terms matrix inequality proposed to make observer error be asymptotically stable. The boundary reachability analyzed via zonotope. Zonotope-based algorithms with without integral generate estimated state intervals. Compared existing result, render tighter intervals illustrated by simulation study.
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ژورنال
عنوان ژورنال: IEEE Transactions on Automatic Control
سال: 2022
ISSN: ['0018-9286', '1558-2523', '2334-3303']
DOI: https://doi.org/10.1109/tac.2022.3203226