This paper briefly discusses the effects on the aerodynamic derivative identification results caused by time delay in measured parameters.
主要讨论了测量参数间的时间延迟对飞机气动导数辨识结果的影响。
Combining a new parameter identification algorithm capable of online time varying delay prediction with internal model control, an adaptive IMC algorithm for time varying delay systems is proposed.
把一种新的能在线估计时变时滞系统参数的辨识算法与内模控制相结合，提出了时变时滞系统自适应内模控制算法。
Based on identifying the time-delay system of HVAC, the paper researches the linear and nonlinear systems identification methods with MATLAB system identification toolbox and neural network theory.
运用MATLAB辨识工具箱和神经网络理论，通过对暖通空调系统中常见的时滞对象的辨识，研究了基于神经网络的线性和非线性的辨识方法。
Robust time delay estimation method based on least mean p-norm blind channel identification(BCILMP) was proposed and applied to estimate the propagation velocities of GEA.
根据分数低阶统计量理论，本研究提出一种基于最小平均p范数盲信道辨识的韧性时间延迟估计算法（BCILMP），对胃电信号传导速率进行估计。
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。
Therefore the identification results can not be influenced by the input signal time-delay.
这就使网络辩识结果不再受输入信号时延的影响。
The algorithm principle is based on the input-output signal "s time delay distinction time window as the key parameter, and the detailed signal identification algorithm."
算法以引脚间输入与输出信号之间的延时——判别时间窗作为识别的重要参数，设计了详细的信号识别算法。
Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.
受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法，并且可以基于同步对其连结权重进行估计。
Motivated by the idea of adaptive control, we proposed a scheme for the synchronization, synchronization-based parameters identification and stabilization of neural networks with time-varying delay.
受到自适应控制方法的启发本文提出了一种变时滞神经网络的同步和镇定的方法，并且可以基于同步对其连结权重进行估计。
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