为了利用数学模型描述某一时刻的状态，我们需要对整体目标值进行拟合。整体拟合无法准确描述目标状态，因此，采用分布式低维解耦合的方式，将强耦合高维非线性系统拆解为低维线性与非线性系统在连续时间序列上的有序集合。

To describe the state of the system at a certain moment using a mathematical model, we need to fit the overall target value. However, overall fitting cannot accurately describe the target state. Therefore, we adopt a distributed low-dimensional decoupling approach to decompose the strongly coupled high-dimensional nonlinear system into an ordered collection of low-dimensional linear and nonlinear systems over a continuous time sequence.