INVSID 1.0: An Inverse System Identification Toolbox for MATLAB

Author:

Han Runzhe1ORCID,Bohn Christian2,Bauer Georg2

Affiliation:

1. College of Optical, Mechanical and Electrical Engineering, Zhejiang A&F University, Hangzhou 311300, China

2. Institut für Elektrische Informationstechnik, Technische Universität Clausthal, 38678 Clausthal-Zellerfeld, Germany

Abstract

The inverse system identification toolbox named INVSID 1.0 for MATLAB, which is used to identify the inversion of single-input single-output systems, is developed. The complete process from theoretical derivation to toolbox creation of developing the toolbox is demonstrated. Afterwards, numerical examples are illustrated to describe how the toolbox can be used to solve inverse identification problems. Simulation results demonstrate the effectiveness of the toolbox.

Funder

Natural Science Foundation of Zhejiang province, P.R. China

University Research Development Foundation in Zhejiang A&F University, P.R. China

Publisher

MDPI AG

Reference28 articles.

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2. Golub, G.H., and Van Loan, C.F. (2012). Matrix Computations, John Hopkins University Press.

3. Jung, Y. (2018). Inverse System Identification with Applications in Predistortion, Linköping University.

4. On inversion-based approaches for feedforward and ILC;Oomen;Mechatronics,2018

5. Zhou, K., Doyle, J.C., and Glover, K. (1996). Robust and Optimal Control, Prentice Hall.

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