Scholarlink

In order to verify the correctness of dynamic correlation integration theory and investigate its performance, a series of studies have been carried out in this section by means of numerical simulation. In all the simulation, the fourth-order Runge–Kutta method is used to simulate the continuous dynamic system. The calculation step length is 0.05 and the sampling time Ts is one second, the Algorithm 3.2.2 in Sect. 3.2 is adopted in gradient identification. Because the algorithm is rather complex, for reducing the calculation time of computer, stack technology is used to store and extract data, which greatly improves the computing efficiency and the calculation speed is irrelevant with data window width and parameters \(T,M\) .

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Simulation Research and Optimal Energy Recovery Experiment

  • 章节

  • 发表日期：

    2025年

查看全文
  • Jian Wang

摘要

In order to verify the correctness of dynamic correlation integration theory and investigate its performance, a series of studies have been carried out in this section by means of numerical simulation. In all the simulation, the fourth-order Runge–Kutta method is used to simulate the continuous dynamic system. The calculation step length is 0.05 and the sampling time Ts is one second, the Algorithm 3.2.2 in Sect. 3.2 is adopted in gradient identification. Because the algorithm is rather complex, for reducing the calculation time of computer, stack technology is used to store and extract data, which greatly improves the computing efficiency and the calculation speed is irrelevant with data window width and parameters \(T,M\) .