A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems

T. Aizad; Othman Maganga; Malgorzata Sumislawska; Keith J. Burnham

doi:10.1007/978-3-319-08422-0_12

A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems

T. Aizad, Othman Maganga, Malgorzata Sumislawska, Keith J. Burnham

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this paper a comparative study of three nonlinear model order reduction techniques using a case study of a transmission line model is presented. The investigated model order reduction techniques are: quadratic approximation, trajectory piecewise linear approximation and data-based identification of bilinear model. The performance of model order reduction techniques has been evaluated in terms of their accuracy and computational cost. The original 100th order nonlinear model is reduced to 12th and 20th order models by using three different MOR techniques yet preserving simulation accuracy

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering
Editors	Henry Selvaraj, Dawid Zydek, Grzegorz Chmaj
Publisher	Springer Verlag
Pages	83-88
Volume	1089
ISBN (Print)	978-3-319-08421-3
DOIs	https://doi.org/10.1007/978-3-319-08422-0_12
Publication status	Published - 2015

Bibliographical note

This paper is not available on the repository. The paper was given at the 23rd International Conference on Systems Engineering, ICSEng 2014; Las Vegas, NV; United States; 19 August 2014 through 21 August 2014

Keywords

Computer simulation
Piecewise linear techniques
Systems engineering
Transmission line theory
Comparative studies
Computational costs
Data-based modeling
Model order reduction
Piecewise linear approximations
Quadratic approximation
Simulation accuracy
Transmission line modeling

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10.1007/978-3-319-08422-0_12

Cite this

Aizad, T., Maganga, O., Sumislawska, M., & Burnham, K. J. (2015). A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems. In H. Selvaraj, D. Zydek, & G. Chmaj (Eds.), Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering (Vol. 1089, pp. 83-88). Springer Verlag. https://doi.org/10.1007/978-3-319-08422-0_12

A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems. / Aizad, T.; Maganga, Othman; Sumislawska, Malgorzata; Burnham, Keith J.

Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. ed. / Henry Selvaraj; Dawid Zydek; Grzegorz Chmaj. Vol. 1089 Springer Verlag, 2015. p. 83-88.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Aizad, T, Maganga, O, Sumislawska, M & Burnham, KJ 2015, A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems. in H Selvaraj, D Zydek & G Chmaj (eds), Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. vol. 1089, Springer Verlag, pp. 83-88. https://doi.org/10.1007/978-3-319-08422-0_12

Aizad T, Maganga O, Sumislawska M, Burnham KJ. A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems. In Selvaraj H, Zydek D, Chmaj G, editors, Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. Vol. 1089. Springer Verlag. 2015. p. 83-88 https://doi.org/10.1007/978-3-319-08422-0_12

Aizad, T. ; Maganga, Othman ; Sumislawska, Malgorzata ; Burnham, Keith J. / A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems. Advances in Intelligent Systems and Computing: Proceedings of the Twenty-Third International Conference on Systems Engineering. editor / Henry Selvaraj ; Dawid Zydek ; Grzegorz Chmaj. Vol. 1089 Springer Verlag, 2015. pp. 83-88

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abstract = "In this paper a comparative study of three nonlinear model order reduction techniques using a case study of a transmission line model is presented. The investigated model order reduction techniques are: quadratic approximation, trajectory piecewise linear approximation and data-based identification of bilinear model. The performance of model order reduction techniques has been evaluated in terms of their accuracy and computational cost. The original 100th order nonlinear model is reduced to 12th and 20th order models by using three different MOR techniques yet preserving simulation accuracy",

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A comparative Study of Model-Based and Data-Based Model Order Reduction Techniques for Nonlinear Systems

Abstract

Bibliographical note

Keywords

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