不可控变量在流程中可能包含人为干涉和不同的工作团队、生产批量、每周工作天数、生产工具生产设备甚至是同一个生产工具的使用人数所产生的差异同种设备的数量。
Uncontrolled variables thatgo into this process may include human intervention and differences in work teams, production lots, days of the week, machines or even heads on the same machine.
本文以机器人为研究对象，针对其强耦合、非线性、多变量等特点，提出了一种模糊神经网络控制器组成的控制系统。
This paper USES robot as researched object that is of strong coupling, nonlinear and multi-variable characters. A control system is proposed which consists of a fuzzy neural network controller.
经验表明，在创建初始数据表和用图形表示的过程的时候，人为因素是一个经常被忽视的一种波动来源变量。
Experience shows that in creating theinitial data table and in the graphical representation of the process, thehuman element is a frequently overlooked source of variation.
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