Exact observability of semi‐Markov jump stochastic systems

Abstract This paper focuses on the exact observability of semi‐Markov jump stochastic systems (s‐MJSSs). An extended system method (ESM) for s‐MJSSs is introduced to transform the observability analysis for s‐MJSSs in the th moment sense into several extended systems. By applying the ESM, the Popov‐Belevith‐Hautus (PBH) criterion and the rank criterion for exact observability in the th moment sense are derived for the first time. Additionally, the example is provided to illustrate the effectiveness of the proposed conclusions.

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Publication Details

Journal
Asian Journal of Control
Published
2026-01-22
DOI
https://doi.org/10.1002/asjc.70069
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

Exact observability of semi‐Markov jump stochastic systems

Fangxu Su, Weihai Zhang, Dong Wang
Asian Journal of Control
Target Tracking and Data Fusion in Sensor Networks
article

Exact observability of semi‐Markov jump stochastic systems

Fangxu Su, Weihai Zhang, Dong Wang
article en

Abstract

Abstract This paper focuses on the exact observability of semi‐Markov jump stochastic systems (s‐MJSSs). An extended system method (ESM) for s‐MJSSs is introduced to transform the observability analysis for s‐MJSSs in the th moment sense into several extended systems. By applying the ESM, the Popov‐Belevith‐Hautus (PBH) criterion and the rank criterion for exact observability in the th moment sense are derived for the first time. Additionally, the example is provided to illustrate the effectiveness of the proposed conclusions.

Asian Journal of Control
Shandong University of Science and Technology (CN)
Openalex Percentile: Top 81%
Target Tracking and Data Fusion in Sensor Networks
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