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要想建立一个复杂系统精确数学模型是很困难的。本文阐述如何用模糊集合理论,从系统输入输出量测值来测辨系统的模糊模型,改进了[2]测辨模糊模型的方法,并提出如何根据系统输出量测值来修正模糊模型和建立自适应模糊模型。用本文的方法测辨[3]提供的一个加热炉输入输出量测值的预测模型,所得结果比[2]和[3]的模型都更加精确。全部数据处理过程均用BASIC语言编写的程序实现。为复杂系统提供了建立数学模型和用计算机完成数据处理的另一种方法。
To create an accurate mathematical model of complex systems is very difficult. This paper describes how to use the fuzzy set theory to measure the system’s fuzzy model based on the input and output measurement of the system, and improves the method of measuring the fuzzy model [2]. It also proposes how to modify the fuzzy model according to the measured output of the system Adaptive fuzzy model. The method proposed in this paper is used to determine the prediction model of input and output of heating furnace provided in [3], and the results obtained are more accurate than the models of [2] and [3]. All data processing procedures are written in BASIC language program. For complex systems to provide mathematical models and computer data processing to complete another method.