化学反应优化算法起源于化学反应过程中的能量变化的模拟。提出一种利用化学反应优化算法对系统进行辨识的方法。即通过建立连续系统和离散系统的传递函数结构模型，首先将系统辨识问题转化为数学上求取相关参数的全局最优估计问题，然后利用化学反应优化算法对该问题进行求解。最后给出仿真实例，并且与遗传算法进行了比较，结果表明该方法具有较好的效果，且兼具速度快、精度高等特点。%Chemical reaction optimisation algorithms are derived from simulating the energy changes in chemical reaction process.This paper shows how the chemical reaction optimisation algorithms be applied for system identification.That is,by building the transfer function structural model of continuous and discrete systems,first we convert the problem of system identification to a global optimal estimation problem of seeking the correlated parameters in mathematics,then we use chemical reaction optimisation algorithms to solve the problem.In end of the paper,we give some simulation examples and compare them with genetic algorithms.Results prove that our method has better effect,and has the features of both high speed and accuracy.
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