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arXiv 1610.02470eess.SYcs.SY
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双模糊离散事件系统及其监督控制理论

Bi-Fuzzy Discrete Event Systems and Their Supervisory Control Theory

Sun Yat-sen University(中山大学);Guangdong Industry Technical College(广东工贸职业技术学院)

Weilin Deng, Daowen Qiu

AI总结:

本文提出双模糊离散事件系统模型,结合经典DES理论与T2模糊集理论,解决高不确定性系统的监督控制问题,提出双模糊可控性定理及算法,并通过实例验证其有效性。

摘要:

本文指出类型1模糊集(T1 FSs)在处理某些数据不确定性时存在局限性,而类型2模糊集(T2 FSs)在一定程度上弥补了这一不足。基于T1 FSs理论提出了模糊离散事件系统(FDESs)。因此,FDES可能不足以表征某些高不确定性系统。本文提出了一种新的模型,称为双模糊离散事件系统(BFDESs),通过结合经典DES理论和T2 FSs理论来实现。然后,我们考虑了BFDESs的监督控制问题。证明了双模糊可控性定理和非阻塞双模糊可控性定理。还提出了一种检查双模糊可控性条件的算法。此外,详细研究了不可控语言的两个可控制近似。通过一个示例展示了BFDESs模型的应用性和优势。

英文摘要:

It is well known that type-1 fuzzy sets (T1 FSs) have limited capabilities to handle some data uncertainties directly, and type-2 fuzzy sets (T2 FSs) can cover the shortcoming of T1 FSs to a certain extent. Fuzzy discrete event systems (FDESs) were proposed based on T1 FSs theory. Hence, FDES may not be a satisfactory model to characterize some high-uncertainty systems. In this paper, we propose a new model, called as bi-fuzzy discrete event systems (BFDESs), by combining classical DESs theory and T2 FSs theory. Then, we consider the supervisory control problem of BFDESs. The bi-fuzzy controllability theorem and nonblocking bi-fuzzy controllability theorem are demonstrated. Also, an algorithm for checking the bi-fuzzy controllability condition is presented. In addition, two controllable approximations to an uncontrollable language are investigated in detail. An illustrative example is provided to show the applicability and the advantages of BFDESs model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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