Building models for qualitative prediction of system dynamic behavior

Sukhan Lee, Judy Chen
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引用次数: 2

Abstract

The authors present a method of automatically constructing a model or a set of constraints from domain principles for solving the dynamic behavior of a mechanical system through qualitative simulation. The following issues are emphasized: (1) the extraction of a necessary and sufficient set of system constraints which provides the minimum uncertainty associated with qualitative simulation, and (2) the modification of system constraints through time by detecting and identifying 'system discontinuities'. The first is accomplished by describing a mechanical system by a collection of object and inter-connection primitives, which allows selection of the final set of constraints having the minimum complexity and uncertainty, based on the A* algorithm with heuristics providing the problem solving expertise. The second is accomplished by monitoring whether the states of any individual subsystems evolve to system discontinuities represented by intra/inter subsystem critical states.<>
建立系统动态行为定性预测模型
提出了一种根据域原理自动构造模型或约束集的方法,通过定性仿真求解机械系统的动态行为。强调以下问题:(1)提取一组必要和充分的系统约束,以提供与定性模拟相关的最小不确定性;(2)通过检测和识别“系统不连续”,随着时间的推移修改系统约束。第一个是通过对象和相互连接原语的集合来描述机械系统,这允许选择具有最小复杂性和不确定性的最终约束集,基于a *算法,启发式提供解决问题的专业知识。第二种是通过监测任何单个子系统的状态是否演变为由子系统内部/子系统之间的临界状态所代表的系统不连续来完成的。
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