Set‐membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach

Summary Considering the existence of time delay and interval uncertainty, a set‐membership state estimation problem based on zonotopes is studied for discrete‐time switched systems subject to unknown but bounded noises. To conform the actual situation, a state observer asynchronous with the subsystem is designed. The performance is introduced to attenuate the effect of noises in the observer design. By dealing with the interval uncertainty, the design approach of observer is given and transformed into a convex optimization problem which can be solved off‐line. The zonotope and the estimation interval containing state are provided based on the observer. Finally, a numerical example is given to verify the effectiveness of the proposed algorithm.

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Publication Details

Journal
International Journal of Adaptive Control and Signal Processing
Published
2024-08-15
DOI
https://doi.org/10.1002/acs.3895
Citations
2
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.66

Funders

Controls
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article

Set‐membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach

Ning Yang, Dongyan Chen, Jun Hu, Zhizhen Zhou
2 citations
International Journal of Adaptive Control and Signal Processing
Stability and Control of Uncertain Systems
0.66
article

Set‐membership state estimation for delayed switched systems with interval uncertainty: A zonotopic approach

Ning Yang, Dongyan Chen, Jun Hu, Zhizhen Zhou
article en
2 citations

Abstract

Summary Considering the existence of time delay and interval uncertainty, a set‐membership state estimation problem based on zonotopes is studied for discrete‐time switched systems subject to unknown but bounded noises. To conform the actual situation, a state observer asynchronous with the subsystem is designed. The performance is introduced to attenuate the effect of noises in the observer design. By dealing with the interval uncertainty, the design approach of observer is given and transformed into a convex optimization problem which can be solved off‐line. The zonotope and the estimation interval containing state are provided based on the observer. Finally, a numerical example is given to verify the effectiveness of the proposed algorithm.

International Journal of Adaptive Control and Signal ProcessingVol. 38(11)
Harbin University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 31%
Stability and Control of Uncertain Systems
0.66
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