Based on the algorithm, this paper presents further new fuzzy control algorithms with self-optimizing fuzzy sets.

在可变模糊集的模糊控制器的基础上，进一步讨论了模糊集自寻优问题，提出模糊集自寻优算法。

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Besides the typical PID controlling method, concatenation, feedforward and fuzzy control algorithms are used. As the result, the control functions of the system are efficiently improved.

在控制软件方面除采用经典的PID控制外，还引入了串级、前馈及模糊控制等算法，有效地提高了系统的控制性能。

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This paper brings the fuzzy neural network algorithms into the call admission control in ATM networks. The simulation result shows that it has better effect than usual algorithms.

本文采用模糊神经网络算法对AT M网络进行连接接纳控制，仿真结果表明它比传统的算法有更好的效果。

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