摘要
针对一般智能理论辨识方法在结构系统辨识中存在的问题,提出一种基于粒子群优化算法(PSO)的辨识方法。用粒子群中的粒子表征结构物理参数,以最大似然准则为粒子群优化算法的适应度函数,建立了结构系统的辨识模型。数值仿真分析表明,粒子群优化算法可以精确辨识出结构系统的物理参数。
In order to solve the problems of the intelligent theory application to the identification of structure systems, a new identification method to the structural systems is presented based on particle swarm optimization algorithm in the paper. Every particle of the colony is denoted as the structure parameters and maximum likelihood criterion is adopted to be fitness function for the optimization problem. Thus the identification model of structure system is set up. The numerical simulation results show that PSO algorithm can be used to identify the accurate parameters of structure systems.
出处
《科技通报》
2007年第6期878-884,共7页
Bulletin of Science and Technology
关键词
结构系统辨识
粒子群优化算法
最大似然准则
智能理论
structure system identification
particle swarm optimization algorithm
maximum likelihood criterion
intelligent theory
