Prevention of Overflow Oscillations in Fixed-Point 2D Digital Filters Based on the Fornasini–Marchesini Second Model
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40313-023-01010-8.pdf
Reference35 articles.
1. Agarwal, N., & Kar, H. (2015). A note on stability analysis of 2-D linear discrete systems based on the Fornasini–Marchesini second model: Stability with asymmetric Lyapunov matrix. Digital Signal Processing, 37(2), 109–112. https://doi.org/10.1016/j.dsp.2014.10.007
2. Agarwal, N., & Kar, H. (2016). New results on saturation overflow stability of 2-D state-space digital filters described by the Fornasini–Marchesini second model. Signal Processing, 128(11), 504–511. https://doi.org/10.1016/j.sigpro.2016.05.022
3. Ahn, C. K., & Kar, H. (2015). Expected power bound for two-dimensional digital filters in the Fornasini–Marchesini local state-space model. IEEE Signal Processing Letters, 22(8), 1065–1069. https://doi.org/10.1109/lsp.2014.2382764
4. Badie, K., Alfidi, M., & Chalh, Z. (2021). H∞ model reduction for 2-D discrete Markovian jump systems. Journal of Control, Automation and Electrical Systems, 32(1), 18–29. https://doi.org/10.1007/s40313-020-00662-0
5. Chevet, T., Rauh, A., Dinh, T. N., Marzat, J., & Raissi, T. (2022). Robust interval observer for systems described by the Fornasini–Marchesini second model. IEEE Control Systems Letters, 6, 1940–1945. https://doi.org/10.1109/lcsys.2021.3136762
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