Intelligent Supervisory Control Through Discrete Event System Identification

本研究项目涉及离散的识别 事件系统（DES）动态综合监督 智能控制器这样的系统代表了复杂工厂的 通过将其建模为逻辑事件的序列，例如，一 计算机磁盘控制系统监督控制器是DES 控制混合动力系统。有效方法的研究 为获得DES植物模型，在这个项目中进行。 所使用的具体技术包括状态优化设计 使用归纳法定义观察到的事件的空间划分 推理程序，侧重于相对较低的 计算负担和降低样本复杂性。* //

This research project deals with the identification of discrete event system (DES) dynamics for synthesis of supervisory intelligent controllers. Such systems represent a complex plant's behavior by modeling it as a sequence of logical events, e.g., a computer disk control system. The supervisory controller is a DES controlling a hybrid system. Investigation of efficient methods for obtaining DES plant models are carried out in this project. Specific techniques used include the optimal designs of state space partitions defining the observed events using inductive inference procedures, with an emphasis on relatively low computational burden and reduced sample complexity.*** //