非线性动态系统参数估计的混合计算智能算法

A Hybrid Computational-intelligent Algorithm for Parameter Estimation of Nonlinear Dynamical Systems

本文通过定义牛顿算子、选择算子、混合数据结构以及适应度函数,得到非线性动态系统的非线性参数估计的混合计算智能算法.该算法结合了遗传算法(GA)和牛顿法两者长处,既有较快收敛性,又能以较大概率求得全局解(一致收敛估计).数值计算结果表明了该方法显著优于 GA 和牛顿法.

In this paper,a Newtonian operator,a selecting operator,a mixed numerical structure,and a fitness function are defined and then a hybrid computational-intel- ligent algorithm for estimating nonlinea parameters of nonlinear dynamical systems is proposed.The new algorithm with the faster convergence and the greater prob- ability for the global solution(consistently convergence estimates)combines the advantages of both the genetic algorithm and the Newtonian algorithm.The nu- merical computing results show that the algorithm is distinctly superior to the ge- netic algorithm or the Newtonian algorithm.