复杂性和意义含糊问题的定性仿真和控制

Solving Complexity and Ambiguity Problems Within Qualitative Simulation and Control

许多系统是高阶、时变、非线性,传统的模型分析方法不容易应用。定性推理能避免复杂的数学计算,定性推理有吸引力是因为它涉及到物理系统一般原理的描述,这意味着一个特殊的定性模型能用于描述一个大范围的起作用的条件。在工程上定性推理用于监控和诊断。本文阐述如何用定性推理技术去仿真和控制液位系统的问题。

Many real systems may be high-order,time-varying and non-linear to the extent that conventional modeling and analysis teeniques can no lonser be easily applied . The use of qualitative reasoning can avoid complex mathematical operations , and can be employed to overcome some of the difficulties. Qualitative reasoning is attractive because of the generality of the description of physical systems involved, which means that one particular qualitative model can be used to describe a large of operating conditions. Most applications of qualitative reasoning in engineering have so far been concerned with process monitoring and diagnose. The paper illustrates how to apply it to aimulate and control a liquid level system.