本文探讨寻求最优化过程操作条件基于自适应模型的算法。对下列两种算法:修正二步法和近似线性模型法进行了研究。为比较性能,在一个燃料气系统中应用这两种算法求取系统在约束和非约束条件下的性能指标。燃料气系统由蒸发器和气体混合器组成。两种算法都可得到过程的最优化解。但近似线性模型法比修正二步法更有效更稳定。 This article explores algorithms that seek optimal operating conditions based on adaptive models. The following two algorithms were studied: the modified two-step method and the approximate linear model method were studied. To compare performance, apply these two algorithms in a fuel gas system to find the performance of the system under both constrained and non-constrained conditions. The fuel gas system consists of an evaporator and a gas mixer. Both algorithms can get the optimal solution to the process. However, the approximate linear model method is more effective and stable than the modified two-step method.