预测曲线拟合matlab(Predictive curve fitting matlab)

 我有一个关于曲线拟合的问题，我有很多像图片中的曲线。 
 
 X轴：时间Y轴：温度 
 
 每个样本每30秒出来一次。 
 
 目标：预测瞬态结束时的值 
 
 在这个情况下，你会怎么做？ 我所做的是：对于每个新样本，我开始一个新的拟合（因此每个拟合都独立于前一个拟合），并在启动后检查拟合曲线的值2小时（我在2h之前设置的所有曲线）的测量。 如果对于后续拟合的数字（比如说5），未来的价值保持大致相同（+ - 0.2°C），我假设估计是正确的。 
 
 这种方法在我看来太简单了，我想我并没有利用所有的信息。 例如，我准时做出的错误信息（例如，我预测的分钟4点，4点30分我发现我正在做错误）。 
 
  
 
 在图片中，曲线的红色部分被排除（但将来的真实数据会通过它）。 估计是蓝色的。 你看，在这种情况下，我没有一个好的预测......一般来说，我也有更平坦的曲线。 

I have a question about curve fitting, I have many curves like the one in the picture.
 
X axis : time Y axis : temperature
 
Each sample comes out every 30s. 
 
GOAL : predict the value at the end of the transient
 
What would you do in this situation? What I am doing is this : for every new sample I start a new fitting (and so each fitting is independent from the previous one) and check the value of the fitted curve 2 hours (all curves I have set before 2h) after the start of the measurement. If for a number (let's say 5) of subsequent fitting the value in the future stays more or less the same(+-0.2°C) I so assume that the estimation is the right one.
 
This approach seems to me far too simple and I think I am not exploiting all information. For example the info of the error I am making punctually (e.g. at minute 4:00 I predict and at 4:30 I see that I am doing an error).
 
 
In the picture the red part of the curve is excluded (but the real data in the future passes through it). the estimation is the blue one. You see in this case I don't have a good prediction... In general I have also more flat curves.

原文：https://stackoverflow.com/questions/42648357