A dynamic programming algorithm for input estimation on linear time-variant systems

被引：30

作者：

Nordstrom, Lars J. L. ^{[1
]}

机构：

[1] Chalmers Univ Technol, Dept Appl Mech, SE-41296 Gothenburg, Sweden

来源：

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING | 2006年 / 195卷 / 44-47期

关键词：

inverse problem; indirect measurements; time-variant systems; time domain; dynamic programming; state space;

D O I：

10.1016/j.cma.2006.01.002

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

A time domain input estimation algorithm for linear systems with general time-varying parameters is developed. The algorithm is an extension of an existing approach for time-invariant state space models and several new features, such as higher order input approximations and an extended time-variant output relation including direct input influence, are introduced. Numerical examples are given to illustrate the new features and show that the algorithm is valid in a general time-variant setting. In particular, excellent results are obtained for an ill-posed moving force identification problem with noise-contaminated data, treated with Tikhonov regularization. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：6407 / 6427

页数：21

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