采用该方法，较好地解决了具有不确定性和复杂特性对象的适应控制和模糊控制用于较高精度控制的问题。
The method is a better solution for problems of adaptive control for object with features of uncertainty and complexity as well as precise control by fuzzy control.
传统的测试性验证试验样本选取方法没有考虑测试对象的各故障模式之间的复杂性与不确定性关系。
The complex and uncertain relationship among failures is ignored in failure sample selection based on traditional testability demonstration experiment method.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
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