AI用于Simulink模型的降阶方法和应用场景

MathWorks 刘海伟

面对多物理场复杂交互的动态系统或被控对象，通常需要复杂的第一原理支撑来建模系统的行为和系统响应，当然仿真也需要大量的计算。本次演讲提供数据驱动的模型降阶（Reduced Order Modeling）实现Simulink®模型提速的方法，通过数据得到具有一定保真度的数据模型，并通过具体应用介绍降阶模型的使用场景，例如仿真加速，虚拟传感器和预测控制等等。

出版年份: 2024 年 7 月 3 日

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本次讲座将通过几个汽车行业典型的数据分析实例介绍MATLAB的数据分析技术。

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