针对生物医学领域中肢体外循环系统，本文设计了一种带预测的参数自寻优模糊控制。

This paper designs a self-optimization fuzzy control with prediction parameters for an off -body circulatory system in the area of biomedical science.

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针对仿真转台系统的时变性、模型的不确定性等特点，提出采用基于遗传算法的PID自适应控制器，实现控制器参数的在线自寻优。

A adaptive PID controller is presented for the time-variant and uncertainty of simulator system. The self-tuning of PID parameters online is realized using the controller.

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以模糊控制、专家系统、自寻优理论和分级解耦理论为基础，针对各被控过程不同的具体要求，分别提出基于不同控制理论的控制策略。

A new control strategy and method based on fuzzy control, expert system, self optimization and individual decoupling theory for tube mill control has been used.

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