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分析和实践证明，造成热连轧机厚控精度远低于冷连轧的主要原因是活套控制系统与厚度控制系统的相互干扰。采取改进活套支持器结构、多变量最优控制和张力与厚度解耦控制等虽然取得了一定效果，但受连轧基本理论──秒流量相等条件的限制，并未取得突破性进步，特别是以流量测厚值为标准，直接影响了自适应的效果。连轧分布参数动态数学模型为解决厚度与张力的干扰提供了新思路，而数学模型与人工智能结合的协调推理网络为其具体实现方法。
Analysis and practice have proved that the main reason that causes the thickness control accuracy of hot strip mill to be far lower than cold rolling is the mutual interference between the looper control system and the thickness control system. The improvement of looper structure, multivariable optimal control, and tension and thickness decoupling control have achieved some results. However, the basic theory of continuous rolling - limited by the equal condition of second flow rate, did not make any breakthrough. In particular, Is the thickness of the flow measurement as a standard, a direct impact on the adaptive effect. The dynamic mathematical model of continuous rolling distribution parameter provides a new idea for solving the interference of thickness and tension, and the coordination and reasoning network combining mathematical model with artificial intelligence is its concrete realization method.