Development of Model Reduction Framework for Continuous-Time Weighted and Limited-Interval Systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-022-06993-1.pdf
Reference39 articles.
1. Imran, M.; Ahmad, M.I.: Development of frequency weighted model order reduction techniques for discrete-time one-dimensional and two-dimensional linear systems with error bounds. IEEE Access 10, 15096–15117 (2022)
2. Bashir, S.; Imran, M.; Batool, S.; Ahmad, M.I.; Malik, F.M.; Salman, M.; Wakeel, A.; Ali, U.: Frequency limited and weighted model reduction algorithm with error bound: application to discrete-time doubly fed induction generator based wind turbines for power system. IEEE Access 9, 9505–9534 (2021)
3. Bashir, S.; Batool, S.; Imran, M.; Ahmad, M.I.; Malik, F.M.; Ali, U.: Development of frequency weighted model reduction algorithm with error bound: application to doubly fed induction generator based wind turbines for power system. Electronics 10(1), 44 (2021)
4. Bashir, S.; Batool, S.; Imran, M.; Ali, U.: Development of frequency limited model reduction algorithm with error bound and application to continuous-time variable-speed wind turbines for power system. In: 2020 Australian and New Zealand Control Conference (ANZCC), pp. 154–159. IEEE (2020)
5. Imran, M.; Ghafoor, A.: Stability preserving model reduction technique for 1-D and 2-D systems with error bounds. IEEE Trans. Circuits Syst. II Express Briefs 69(3), 1084–10888 (2021)
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1. Improved model order reduction techniques with error bounds;International Journal of Systems Science;2023-12-22
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