The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nesta carta, propomos uma nova H2 mais suave (H2S) com uma estrutura de resposta ao impulso finita (FIR) para modelos de sinais de espaço de estado em tempo discreto. Este suavizador é chamado de H2 FIR mais suave (H2FS). Restrições como linearidade, propriedade de quase caloteiro, estrutura FIR e independência das informações do estado inicial são necessárias antecipadamente para projetar H2FS que seja ideal no sentido de H2 critério de desempenho. É mostrado que o problema de projeto H2FS pode ser convertido no problema de programação convexa escrito em termos de uma desigualdade de matriz linear (LMI) com uma restrição de igualdade linear. O estudo de simulação ilustra que o H2FS proposto é mais robusto contra incertezas e mais rápido na convergência do que o H2S convencional.
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ChoonKi AHN, "New Quasi-Deadbeat FIR Smoother for Discrete-Time State-Space Signal Models: An LMI Approach" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 9, pp. 2671-2674, September 2008, doi: 10.1093/ietfec/e91-a.9.2671.
Abstract: In this letter, we propose a new H2 smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an H2 FIR smoother (H2FS). Constraints such as linearity, quasi-deadbeat property, FIR structure, and independence of the initial state information are required in advance to design H2FS that is optimal in the sense of H2 performance criterion. It is shown that H2FS design problem can be converted into the convex programming problem written in terms of a linear matrix inequality (LMI) with a linear equality constraint. Simulation study illustrates that the proposed H2FS is more robust against uncertainties and faster in convergence than the conventional H2S.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.9.2671/_p
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@ARTICLE{e91-a_9_2671,
author={ChoonKi AHN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={New Quasi-Deadbeat FIR Smoother for Discrete-Time State-Space Signal Models: An LMI Approach},
year={2008},
volume={E91-A},
number={9},
pages={2671-2674},
abstract={In this letter, we propose a new H2 smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an H2 FIR smoother (H2FS). Constraints such as linearity, quasi-deadbeat property, FIR structure, and independence of the initial state information are required in advance to design H2FS that is optimal in the sense of H2 performance criterion. It is shown that H2FS design problem can be converted into the convex programming problem written in terms of a linear matrix inequality (LMI) with a linear equality constraint. Simulation study illustrates that the proposed H2FS is more robust against uncertainties and faster in convergence than the conventional H2S.},
keywords={},
doi={10.1093/ietfec/e91-a.9.2671},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - New Quasi-Deadbeat FIR Smoother for Discrete-Time State-Space Signal Models: An LMI Approach
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2671
EP - 2674
AU - ChoonKi AHN
PY - 2008
DO - 10.1093/ietfec/e91-a.9.2671
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2008
AB - In this letter, we propose a new H2 smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an H2 FIR smoother (H2FS). Constraints such as linearity, quasi-deadbeat property, FIR structure, and independence of the initial state information are required in advance to design H2FS that is optimal in the sense of H2 performance criterion. It is shown that H2FS design problem can be converted into the convex programming problem written in terms of a linear matrix inequality (LMI) with a linear equality constraint. Simulation study illustrates that the proposed H2FS is more robust against uncertainties and faster in convergence than the conventional H2S.
ER -