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。
The identification results have indicated that the proposed method is an effective tool for modal parameters identification of time-variant linear system.
实验结果和理论计算结果比较表明:该方法为参数时变线性系统的模态参数辨识提供一条新途径。
A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.
基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。
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