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| 不确定观测下离散事件系统的可诊断性 |
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文习明1,2, 余泉3, 常亮2, 王驹2
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1.广东省委党校 信息技术教研部, 广东 广州 510053;2.广西可信软件重点实验室(桂林电子科技大学), 广西 桂林 541004;3.贵州省黔南师范学院 数学与统计学院, 贵州 都匀 558000广西可信软件重点实验室(桂林电子科技大学), 广西 桂林 541004
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| 摘要: |
| 从系统诊断的角度来看，可诊断性是离散事件系统的一个重要性质.其要求系统发生故障后经过有限步的观测可以检测并隔离故障.为简单起见，对离散事件系统可诊断性的研究大都假定观测是确定的，即观测到的事件序列与系统实际发生的可观测事件序列一致.而在实际应用中，由于感知器的精度、信息传输通道的噪声等原因，所获取的观测往往是不确定的.重点研究观测不确定条件下离散事件系统的可诊断性问题.首先扩展了传统可诊断性的定义，定义了观测不确定条件下的可诊断性；然后，分别给出各类观测不确定条件下的可诊断性判定方法；在更一般的情况下，各类观测不确定可能共同存在，因此，最后给出一般情况下的可诊断性判定方法. |
| 关键词: 不确定观测 离散事件系统 可诊断性 |
| DOI：10.13328/j.cnki.jos.005212 |
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| 基金项目:国家自然科学基金（61603152，61463044，61363030）；广西可信软件重点实验室研究课题（KX201604，KX201606，KX201419，KX201330）；贵州省科技厅项目（LH[2014]7421）；广西自然科学基金（2015GXNSFAA139285） |
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| Diagnosability of Discrete-Event Systems with Uncertain Observations |
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WEN Xi-Ming1,2, YU Quan3, CHANG Liang2, WANG Ju2
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1.Department of Information Technology, Guangdong Institute of Public Administration, Guangzhou 510053, China;2.Guangxi Key Laboratory of Trusted Software (Guilin University of Electronic Technology), Guilin 541004, China;3.School of Mathematics and Statistics, Qiannan Normal College for Nationalities, Duyun 558000, ChinaGuangxi Key Laboratory of Trusted Software (Guilin University of Electronic Technology), Guilin 541004, China
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| Abstract: |
| Diagnosability is an important property of discrete-event system (DES) from the perspective of diagnosis. It requires that every fault can be detected and isolated within a finite number of observations after its occurrence. In numerous literatures, diagnosability is studied under the assumption that an observation is certain, i.e., the observation corresponds to the sequence of observable events exactly taking place in the DES. But in practical applications, the assumption may become inappropriate. Due to various reasons such as the precision of sensors and noises in transmission channels, the available observation may be uncertain. This paper focuses on the diagnosability of DESs with uncertain observations. It extends the definition of diagnosability to cope with uncertain observations. Methods are given to check the diagnosability with three types of uncertain observations accordingly. In a more general scenario where multiple uncertainties exist in the observation, a method is also provided to check the diagnosability with all the uncertainties of the observation together. |
| Key words: uncertain observation discrete-event system diagnosability |
