The search functionality is under construction.

The search functionality is under construction.

In this letter, we propose a new *H*_{2} smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an *H*_{2} 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 *H*_{2} 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.

- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.9 pp.2671-2674

- Publication Date
- 2008/09/01

- Publicized

- Online ISSN
- 1745-1337

- DOI
- 10.1093/ietfec/e91-a.9.2671

- Type of Manuscript
- LETTER

- Category
- Digital Signal Processing

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

Copy

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 *H*_{2} smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an *H*_{2} 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 *H*_{2} 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

Copy

@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 *H*_{2} smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an *H*_{2} 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 *H*_{2} 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},}

Copy

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 *H*_{2} smoother (H2S) with a finite impulse response (FIR) structure for discrete-time state-space signal models. This smoother is called an *H*_{2} 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 *H*_{2} 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 -