基于知识的分层事件调度混杂系统仿真策略

仿真策略是仿真学研究的核心问题之一。本文针对一类具有决策功能的混杂系统，提出一种基于知识的分层事件调度仿真策略。通过引入专家系统，建立了决策调度和事件调度的分层智能调度模型，克服了离散事件系统仿真策略缺少决策分析和事件处理缺乏层次的局限性。该策略算法设计简单，易于实现，并且已经在宝钢铁水运输仿真系统中得到实际应用，其有效性得到证明。

Knowledge-Based Event Scheduling Simulation Strategy for Hybrid System

Simulation strategy is the kernel problem of simulation research. In this paper, a knowledge-based event scheduling simulation strategy is developed for a class of hybrid systems, which have the function of decision-making. An expert system of decision-making is employed in the simulation system, and a layered scheduling model for event scheduling and decision-making scheduling is established. This layered scheduling model can overcome the insufficiency on decision-making and incompleteness of layered analysis in the traditional DEDS (discrete event dynamical system) simulation strategy. The given strategy has been successfully applied to the molten iron transport simulation system of Baosteel.