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适应控制是针对某些目标使加工过程或机床实现最佳化的技术。最佳化的变量分为基本变量和辅助变量。基本变量是指单件成本或生产率等综合性的技术经济目标，辅助变量是指刀具磨损率，刀尖温度及颤振等，它们可间接反映上述经济目标的一些物理参数。由于自动适应控制设备费用昂贵、又缺少实用的传感器，因比目前只有为数不多的采用辅助变量型的自动适应控制系统。随着廉价可编程计算器的问世，使工程师的计算技能和判断能力转交给操作—人，成为可能，充分发挥。人的主动性从而使一种技术复杂而价格昂贵的理想控制技术转变成投资不多，效果较大，又易于为车间工人掌握的新技术──手动适应控制（ＭＡＣ）。 美国生产工程技术代表团成员Ｍ．Ｃ·Ｓｈａｗ教授于今年八月来华报告，本文是报告内容之一。──编者
Adaptive control is a technology that optimizes the process or machine for certain goals. Optimized variables are divided into basic variables and auxiliary variables. The basic variables are comprehensive technical and economic goals such as unit cost or productivity. Auxiliary variables refer to tool wear rate, tip temperature and flutter, etc. They indirectly reflect some of the physical parameters of the above economic goals. Due to the high cost of auto-adaptive control equipment and the lack of practical sensors, there are only a few types of adaptive control systems that use auxiliary variables. With the advent of cheap programmable calculators, it is possible to give full play to the ability of engineers to make computational skills and judgment. Human initiative has therefore transformed a technically complex and costly ideal control technology into a less expensive, more powerful and easy-to-grasp new technology for shop floor workers - Manual Adaptive Control (MAC). Member of US Production Engineering Technology Delegation. Professor C Shaw came to China in August this year to report, this article is one of the contents of the report. ── Editor