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线性时不变系统集员辨识的区间算法
引用本文:王晓军,邱志平.线性时不变系统集员辨识的区间算法[J].力学学报,2005,37(6):713-718.
作者姓名:王晓军  邱志平
作者单位:北京航空航天大学航空科学与工程学院
基金项目:国家杰出青年科学基金项目(10425208) 国家自然科学基金委与中国工程物理研究院联合基金项目(10376002) 北京航空航天大学博士创新基金项目资助.~~
摘    要:在不确定但有界(UBB)噪声假设下,提出一种针对线性时不变系统参数集员辨识的区间算法. 借助区间数学,寻求与观测数据和噪声相容的参数的最小超长方体(或区间向量),推导了递 推列式,并分析了算法的收敛性. 此算法不仅可以给出参数估计值,还可以给出参数的不确 定性界限. 通过数值算例,将此算法与Fogel椭球算法和最小二乘算法进行了比较,显示 了其计算量小和精度高的优点。

关 键 词:集员辨识  线性时不变系统  区间算法  区间数学  不确定但有界(UBB)  
文章编号:0459-1879(2005)06-0713-06
收稿时间:2004-09-14
修稿时间:2005-03-18

Interval algorithm for membership-set identification of linear time-invariant system
Wang Xiaojun,Qiu Zhiping.Interval algorithm for membership-set identification of linear time-invariant system[J].chinese journal of theoretical and applied mechanics,2005,37(6):713-718.
Authors:Wang Xiaojun  Qiu Zhiping
Institution:Institute of Solid Mechanics, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
Abstract:Based on the assumption of Unknown-But-Bounded (UBB) noise, an interval algorithm is presented for parameter membership-set estimation of a linear time-invariant system. In virtue of interval mathematics, the algorithm objective is to seek the minimal hyper-rectangle (or interval vector) of parameters which is compatible with the measurements and the bounded noise, and its recursive formula are derived. Convergence of the algorithm is analyzed. The presented algorithm can obtain not only the center estimations of parameters, but also the uncertain bounds on them. Numerical examples illustrate its small computation efforts and higher accuracy in comparison with Fogel's algorithm and the least squares algorithm.
Keywords:membership-set identification  linear time-invariant system  interval algorithm  interval mathematics  UBB
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