期刊
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
卷 195, 期 44-47, 页码 6407-6427出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2006.01.002
关键词
inverse problem; indirect measurements; time-variant systems; time domain; dynamic programming; state space
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.
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