Search - simulink of time delay

Search - simulink of time delay - List

[AI-NN-PR] DualFuzzy DL : 0: 针对纯时滞系统，自己用Simulink编写了一个双模糊PID控制器，其中模糊预估器能补偿时滞，模糊PID有良好的自适应性，可以得到了一个堪称"优美"的控制效果图。-For pure time-delay systems, their own Simulink prepared using a dual-fuzzy PID controller, in which fuzzy predictor can compensate time-delay, Fuzzy PID have good self-adaptability, can be a most beautiful to control the effect of map .
Date : 2025-12-28 Size : 9kb User : khw
[AI-NN-PR] autorelation_function_to_obtain_the_delays_of_time DL : 0: 自相关法求取时间序列延时的函数，包括Simulink产生时间序列的文件，两个主函数，以及运行程序-Since the correlation function to obtain time series of delay, including time series generated Simulink file, the two main functions, and operational procedures
Date : 2025-12-28 Size : 9kb User : yjduoduo
[AI-NN-PR] ffc-1.4.tar DL : 0: Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and layer-recurrent * Unsupervised networks including self-organizing maps and competitive layers * Preprocessing and postprocessing for improving the efficiency of network training and assessing network performance * Modular network representation for managing and visualizing networks of arbitrary size * Routines for improving generalization to prevent overfitting * Simulink® blocks for building and evaluating neural networks, and advanced blocks for control systems applications-Key Features * Neural network design, training, and simulation * Pattern recognition, clustering, and data-fitting tools * Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and layer-recurrent * Unsupervised networks including self-organizing maps and competitive layers * Preprocessing and postprocessing for improving the efficiency of network training and assessing network performance * Modular network representation for managing and visualizing networks of arbitrary size * Routines for improving generalization to prevent overfitting * Simulink® blocks for building and evaluating neural networks, and advanced blocks for control systems applications
Date : 2025-12-28 Size : 247kb User : bacha