基于分层遗传算法的模型结构与参数的同步辨识

摘要

提出采用分层遗传算法（HGA）辨识连续系统的新方法。在Matlab和Simulink环境下，建立了模型辨识的优化模型，并采用HGA求解。仿真实验结果表明，该方法能准确、高效地同步辨识对象的模型结构和参数。%The new method of recognition for continuous system by using hierarchical genetic algorithm （HGA） is stated． Under Matlab and Simulink environment the optimal model of model recognition is established and the solution is found by using HGA． The results of simulation experiments show that this method can used for synchronous recognition of structure and parameter of object model with high accuracy and effectiveness．