Methodology for Evolving Fuzzy Kalman Filter Identification

다국어 초록 (Multilingual Abstract)

A methodology based on the smart combination of evolving fuzzy clustering and OKID (Observer/Kalman Filter Identification) algorithm, is proposed. The evolving fuzzy version of OKID algorithm is formulatedfor adjusting parameters and structure of the fuzzy Kalman filter, from experimental data. Experimentalresults from states and outputs estimation applied to online identification of a 2DoF helicopter show the efficiencyof the proposed methodology.

참고문헌 (Reference)

1 S. Julier, "Unscented filtering and nonlinear estimation" 92 (92): 401-422, 2004

2 Long Xu, "Unscented Kalman Filtering for Nonlinear State Estimation with Correlated Noises and Missing Measurements" 제어·로봇·시스템학회 16 (16): 1011-1020, 2018

3 L. Ljung, "System Identification: Theory for the User" Prentice-Hall 1999

4 X. Wang, "Real-time temperature field reconstruction of boiler drum based on fuzzy adaptive Kalman filter and order reduction" 113 : 145-153, 2017

5 S. Soltani, "New estimation methodologies for well logging problems via a combination of fuzzy Kalman filter and different smoothers" 145 : 704-710, 2016

6 Bingbing Gao, "Multi-sensor Optimal Data Fusion for INS/GNSS/CNS Integration Based on Unscented Kalman Filter" 제어·로봇·시스템학회 16 (16): 129-140, 2018

7 A. Odry, "Kalman filter for mobile-robot attitude estimation : novel optimized and adaptive solutions" 110 : 569-589, 2018

8 C. W. Cheng, "Integrated system identification and modal state estimation for control of large flexible space structures" 15 (15): 88-95, 1992

9 L. A. Zadeh, "Information and control" 8 : 338-353, 1965

10 R. Babuska, "Fuzzy Modeling Control" Kluwer Academic Publishers 1998

11 B. O. S. Teixeira, "Filtragem de Kalman com restrições para sistemas nãolineares : revisão e novos resultados" 21 (21): 128-146, 2010

12 A. Krauza, "Extension of fuzzy Gustafson-Kessel algorithm based on adaptive cluster merging" 2015

13 Ngatini, "Ensemble and fuzzy Kalman filter for position estimation of an autonomous underwater vehicle based on dynamical system of AUV motion" 68 : 29-35, 2016

14 P. Angelov, "Autonomous Learning Systems: From Data Streams to Knowledge in Real-time" Willey 2013

15 J. N. Juang, "Applied System Identification" Prentice Hall 1994

16 G. L. Smith, "Application of statistical filter theory to the optimal estimation of position and velocity on board a circumlunar vehicle" NASA 1962

17 Henzeh Leeghim, "Angular Rate and Alignment Estimation for Gyroless Spacecraft by Only Star Trackers" 제어·로봇·시스템학회 16 (16): 2235-2243, 2018

18 J. N. Juang, "An eigensystem realization algorithm for modal parameter identification and model reduction" 8 (8): 620-627, 1985

19 O. D. R. Filho, "Adaptive neuro-fuzzy black-box modeling based on instrumental variable evolving algorithm" 28 : 50-67, 2017

20 R. E. Kalman, "A new approach to linear filtering and prediction problems" 82 : 35-45, 1960

21 S. Julier, "A new approach for filtering nonlinear systems" 1628-1632, 1995