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Sampled-data \(H_\infty\) Fuzzy Observer Design Under Time-varying Sampling Rates and its Applications to the Attitude and Heading Reference System

  • Han Sol Kim
  • Young Hoon JooEmail author
  • Kwangil Lee
Original Article
  • 4 Downloads

Abstract

In this paper, we design a sampled-data \(H_\infty\) fuzzy observer for nonlinear systems under variable sampling periods. To do so, a linear matrix inequality-based design condition is derived to stabilize the error vector consisting of the difference of the state vectors of the observer and the system. When deriving the condition, we propose a time-dependent fuzzy Lyapunov–Krasovskii functional with discrete time membership functions to obtain numerically less conservative condition. Also, since the proposed method allows the sampling time to be variable, it can be used in low-cost hardwares that do not meet the strict sampling period. Finally, in the hardware experiment, the proposed method is applied to design the attitude and heading reference system that estimates the Euler angles from inertial sensor data, and the results demonstrate the effectiveness of the proposed method.

Keywords

T–S fuzzy observer Sampled-data Time-dependent fuzzy LKF AHRS 

Notes

Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (NRF-2018R1A2A2A14023632) and by Korea Electric Power Corporation (Grant number: R18XA04).

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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  1. 1.School of IT Information and Control EngineeringKunsan National UniversityGunsanSouth Korea
  2. 2.Department of Control and Automation EngineeringKorea Maritime and Ocean UniversityBusanSouth Korea

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