基于区间全局优化的非线性最小二乘估计  

Nonlinear Least Squares Estimation Based on Interval Global Optimization

作　　者：杨卫锋[1] 曾芳玲[1] 

机构地区：[1]解放军电子工程学院,安徽合肥230037

出　　处：《通信技术》2010年第6期232-234,共3页Communications Technology

摘　　要：分析了使用区间全局优化算法进行非线性系统模型参数估计的原因,介绍了非线性最小二乘估计和区间全局优化算法.在非线性系统模型参数估计中,相对于通过优化目标函数求得待估参数点估计的现有算法,基于区间分析的区间全局优化算法不仅可以求得待估参数的点估计,还可得到肯定包含待估参数真值的估计区间,并且该算法还具有计算结果稳定以及更大范围收敛的性质.通过仿真实验并与其他方法进行比较,结果表明算法的可行性和有效性.The reasons why interval global optimization algorithm is used in parameter estimation of nonlinear system model are discussed,then the nonlinear least squares estimation and the interval global optimization algorithm are presented.As compared with the existing algorithms,which obtain the point estimation of the parameters to be estimated,the interval global optimization algorithm could obtain both the point estimation and the interval estimation.In addition,this algorithm is of such features as stable computing results and larger-range convergence.Simulation and comparison with other algorithms indicate that this algorithm is feasible and effective.

关 键 词：区间全局优化 非线性系统模型 参数估计 非线性最小二乘估计 

分 类 号：TN911[电子电信—通信与信息系统] TP301[电子电信—信息与通信工程]