To the widely existed characteristics of time-delay, non-linear and timevarying of parameters in the industry process, an adaptive neuron-fuzzy PID controller based on optimal prediction is presented.

针对工业过程中普遍存在的时滞、非线性、对象参数时变等特性，提出了一种基于最优预测的神经元模糊自整定PID控制算法。

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Then a fuzzy logic controller was designed as a regulator to modify the optimal control gains based on the run-time information, including navigation, communication, mission priority, and so on.

然后，设计模糊逻辑控制器，利用编队运行中的导航信息、通信信息以及任务优先级信息，对控制器增益进行模糊调节。

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A fuzzy controller is designed to decide the optimal tactic of distributing the information flow of the queue system, which makes the time of the clients delay least in the communication system.

建立了一个模糊控制器来决定排队系统信息流分配的最优策略，使得顾客在通信系统中的平均逗留时间最小。

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