基于规则的离散事件系统模型与规则匹配研究

Research of Rule-based Model of Discrete Event System and Rule Matching

将专家系统中的产生式规则表示方法和规则匹配策略引入离散事件系统的控制过程中,研究规则式描述离散事件系统的逻辑关系,按照被动对象划分规则集,形成结构化的规则库;利用正向规则锁定-反向匹配方法缩小规则集的搜索范围,提高规则匹配的效率,为实现复杂系统的控制提供一种可行方案。

Production rule of the expert system and rule matching method were introduced into the control process of the discrete event system. The logical relations in the discrete event system were described by rules, and the grouping structured rule sets were constructed according to the passive objects. Using the method of forward locking-backward matching could reduce the searching area of the rule sets, as thus the rule matching was accelerated. It provided a feasible scheme for the control of complex systems.