Development of Frequency Weighted Model Order Reduction Techniques for Discrete-Time One-Dimensional and Two-Dimensional Linear Systems With Error Bounds

Development of Frequency Weighted Model Order Reduction Techniques for Discrete-Time One-Dimensional and Two-Dimensional Linear Systems With Error Bounds

Frequency weighted model reduction framework pretested by Enns yields an unstable reduced order model. Researchers demonstrated several stability preserving techniques to address this main shortcoming, ensuring the stability of one-dimensional and two-dimensional reduced-order systems; nevertheless,...

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Bibliographic Details
Main Authors: Muhammad Imran, Mian Ilyas Ahmad
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Model reduction
minimal realization
Hankel-Singular values
optimal Hankel norm approximation
frequency response error
error bound
Online Access:https://ieeexplore.ieee.org/document/9693532/

Internet

https://ieeexplore.ieee.org/document/9693532/

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