Model order reduction framework for discrete-time systems with error bound via balanced structure
Author:
Affiliation:
1. Department of Electrical Engineering, College of Signals, National University of Sciences and Technology (NUST), Islamabad, Pakistan
Publisher
Informa UK Limited
Subject
Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207721.2022.2070792
Reference38 articles.
1. Development of Frequency Weighted Model Reduction Algorithm with Error Bound: Application to Doubly Fed Induction Generator Based Wind Turbines for Power System
2. Development of Frequency Limited Model Reduction Algorithm with Error Bound and Application to Continuous-Time Variable-Speed Wind Turbines for Power System
3. Frequency Limited & Weighted Model Reduction Algorithm With Error Bound: Application to Discrete-Time Doubly Fed Induction Generator Based Wind Turbines for Power System
4. Stability Preserving Model Reduction Technique for Weighted and Limited Interval Discrete-Time Systems With Error Bound
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1. Computationally Efficient Reduced Order Modeling of DFIG-Based Wind Turbines: A Novel Frequency-Weighted and Limited Model Reduction Approach With Error Bounds;IEEE Access;2024
2. Improved model order reduction techniques with error bounds;International Journal of Systems Science;2023-12-22
3. Transformation of Two-Dimensional Roesser Model Into Two-Dimensional Decoupled Model: Application to Model Reduction via Balanced Framework;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2023-09
4. Transformation of two-dimensional model into two-dimensional decoupled model and decomposition into one-dimensional models;International Journal of Systems Science;2022-09-30
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