A method for the identification of time-varying delay systems using hybrid particle swarm optimization is proposed.
提出了基于混合粒子群优化的时变时滞系统辨识方法。
Then the fuzzy controller based on the improved fuzzy table-rotating optimization is designed and applied to the open-loop systems with pure time delay.
然后将基于改进后的模糊规则建立的模糊控制器应用到纯时间滞后系统的控制中。
The effect of the time delay to the result of the dynamic optimization for chemical process system with uncertainty parameters is considered in this paper.
对含不确定参数的化工系统的动态过程进行优化，若未考虑滞后环节对动态优化结果的影响，不能保证系统实际操作的优化及安全运行。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
In order to identify the characteristic of the exo-atmospheric space target's RCS, the time-delay neural network (TDNN) with particle swarm optimization (PSO) training method is proposed.
针对空间目标的RCS特征识别的问题，提出了基于粒子群算法(PSO)训练的时延神经网络(TDNN)识别方法。
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