A Novel Fractional Tikhonov Regularization Coupled with an Improved Super-Memory Gradient Method and Application to Dynamic Force Identification Problems

This paper presents a novel inverse technique to provide a stable optimal solution for the ill-posed dynamic force identification problems. Due to ill-posedness of the inverse problems, conventional numerical approach for solutions results in arbitrarily large errors in solution. However, in the fie...

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Veröffentlicht in:	Mathematical problems in engineering 2018-01, Vol.2018 (2018), p.1-16
Hauptverfasser:	Wang, Nengjian, Liu, Chunsheng, Ren, Chunping
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied mathematics Computational mathematics Engineering Fault diagnosis Ill posed problems Inverse problems Mathematical problems Parameter identification Regularization Regularization methods Robustness (mathematics)
Online-Zugang:	Volltext
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