Abstract
In this paper, a linear matrix inequality-based sampled-data fuzzy observer design method is proposed based on the exact discretization approach. In the proposed design technique, a numerically relaxed observer design condition is obtained by using the discrete-time fuzzy Lyapunov function. Unlike the existing studies, the designed observer is robust to the uncertain premise variable because the fuzzy observer is designed under the imperfect premise matching condition, in which the membership functions of the system and observer are mismatched. In addition, we apply the proposed method to the state estimation problem of the attitude and heading reference system (AHRS). To do this, we derive a Takagi-Sugeno fuzzy model for the AHRS system, and validate the proposed method through the hardware experiment.
| Original language | English |
|---|---|
| Pages (from-to) | 2399-2410 |
| Number of pages | 12 |
| Journal | Journal of Electrical Engineering and Technology |
| Volume | 12 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2017 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
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Sampled-data fuzzy observer design for an attitude and heading reference system and its experimental validation. / Kim, Han Sol; Park, Jin Bae; Joo, Young Hoon.
In: Journal of Electrical Engineering and Technology, Vol. 12, No. 6, 01.11.2017, p. 2399-2410.Research output: Contribution to journal › Article
TY - JOUR
T1 - Sampled-data fuzzy observer design for an attitude and heading reference system and its experimental validation
AU - Kim, Han Sol
AU - Park, Jin Bae
AU - Joo, Young Hoon
PY - 2017/11/1
Y1 - 2017/11/1
N2 - In this paper, a linear matrix inequality-based sampled-data fuzzy observer design method is proposed based on the exact discretization approach. In the proposed design technique, a numerically relaxed observer design condition is obtained by using the discrete-time fuzzy Lyapunov function. Unlike the existing studies, the designed observer is robust to the uncertain premise variable because the fuzzy observer is designed under the imperfect premise matching condition, in which the membership functions of the system and observer are mismatched. In addition, we apply the proposed method to the state estimation problem of the attitude and heading reference system (AHRS). To do this, we derive a Takagi-Sugeno fuzzy model for the AHRS system, and validate the proposed method through the hardware experiment.
AB - In this paper, a linear matrix inequality-based sampled-data fuzzy observer design method is proposed based on the exact discretization approach. In the proposed design technique, a numerically relaxed observer design condition is obtained by using the discrete-time fuzzy Lyapunov function. Unlike the existing studies, the designed observer is robust to the uncertain premise variable because the fuzzy observer is designed under the imperfect premise matching condition, in which the membership functions of the system and observer are mismatched. In addition, we apply the proposed method to the state estimation problem of the attitude and heading reference system (AHRS). To do this, we derive a Takagi-Sugeno fuzzy model for the AHRS system, and validate the proposed method through the hardware experiment.
UR - http://www.scopus.com/inward/record.url?scp=85032867039&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032867039&partnerID=8YFLogxK
U2 - 10.5370/JEET.2017.12.6.2399
DO - 10.5370/JEET.2017.12.6.2399
M3 - Article
VL - 12
SP - 2399
EP - 2410
JO - Journal of Electrical Engineering and Technology
JF - Journal of Electrical Engineering and Technology
SN - 1975-0102
IS - 6
ER -