INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE国际系统科学杂志
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE(英文缩写 INT J SYST SCI),ISSN 0020-7721,eISSN 1464-5319,中文译名:国际系统科学杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-11-01 至 2026-10-31，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 2.648 | Q2 |
| 2022 | 4.300 | Q1 |
| 2023 | 4.900 | Q1 |
| 2024 | 4.600 | Q1 |
| 2025 | 4.300 | Q1 |
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE 最新收录文献
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1. Improved Sensor Fault Detection, Isolation, and Mitigation Using Multiple Observers Approach.
1. 使用多观测器方法改进传感器故障检测、隔离与缓解PMID:日期:2017-01-23Traditional Fault Detection and Isolation (FDI) methods analyze a residual signal to detect and isolate sensor faults. The residual signal is the difference between the sensor measurements and the estimated outputs of the system based on an observer. The traditional residual-based FDI methods, however, have some limitations. First, they require that the observer has reached its steady state. In addition, residual-based methods may not detect some sensor faults, such as faults on critical sensors that result in an unobservable system. Furthermore, the system may be in jeopardy if actions required for mitigating the impact of the faulty sensors are not taken before the faulty sensors are identified. The contribution of this paper is to propose three new methods to address these limitations. Faults that occur during the observers' transient state can be detected by analyzing the convergence rate of the estimation error. Open-loop observers, which do not rely on sensor information, are used to detect faults on critical sensors. By switching among different observers, we can potentially mitigate the impact of the faulty sensor during the FDI process. These three methods are systematically integrated with a previously developed residual-based method to provide an improved FDI and mitigation capability framework. The overall approach is validated mathematically, and the effectiveness of the overall approach is demonstrated through simulation on a 5-state suspension system.
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2. Method of stochastic prediction of population estimates based on Kendall's birth and death process.
PMID:日期:1989"An attempt has been made to incorporate density and time-dependent birth and death rates into the generalized birth and death process given by Kendall (1948). The probability generating function of the process has also been investigated. A simple method of estimating the parameters of the process has been illustrated in the text. The applicability of the method for predicting the population of India, starting from the several deterministic projection figures given for any base year, is also discussed in the text."