Modified gain fuzzy Kalman filtering algorithm

JSME International Journal, Series C: Mechanical Systems, Machine Elements and Manufacturing

Volumn 42, Issue 2, 1999, Pages 363-368

  Hsiao, Chao Yin ^a  

^a FENG CHIA UNIVERSITY   (Taiwan)

Author keywords

Fuzzy Gaussian stochastic models; Kalman filtering algorithm; Modified gain

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; FUZZY SETS; MATHEMATICAL MODELS; MONTE CARLO METHODS; RANDOM PROCESSES;

FUZZY INFERENCE MECHANISM (FIM); FUZZY KALMAN FILTERING ALGORITHM;

KALMAN FILTERING;

EID: 0032688189     PISSN: 13447653     EISSN: None     Source Type: Journal    
DOI: 10.1299/jsmec.42.363     Document Type: Article

References (14)

1. Hsiao, C.Y., Analysis and Design of Fuzzy Kalman Filtering Algorithms, Journal of Control Systems and Technology, Vol. 5, No. 2 (1997), Taipei, Taiwan, R. O. C.
2. Hsiao, C.Y. and Lai C.C., Analysis and Design of Fuzzy Filter Algorithms, Industrial Automation and Control Conference: Emerging Technology Applications, IAS, May, (1995), p. 413-420.
3. Hsiao, C.Y., R & D on Fundamental and Applied Fuzzy Technologies, NSC-84-2512-s-035-004 Final Report, Appendix II, Apr., (1996).
4. Liu, W.C., Suboptimal Neighborhood FGSMs for FKF Algorithm, Master Thesis, Department of Mechanical Engineering, (1997), Feng Chia University, Taiwan, R. O. C.
5. Takagi, T. and Sugeno, M., Fuzzy Identification of System and Its Applications to Modeling and Control, IEEE Trans. Syst. Man. Cybern., Vol. SMC-15, No. 1 (1985), p. 116-132.
6. Yager, R.R., Filev, D.P. and Sadeghi, T., Analysis of Flexible Structured Fuzzy Logic Controllers, IEEE Trans. Syst. Man. Cybern., Vol. SMC-24, No. 7 (1994), p. 1035-1043.
7. Runkler, T.A., Slection of Appropriate Defuzzification Methods Using Application Specific Properties, IEEE Trans. Fuzzy Systems, Vol. 5, No. 1 (1997), p. 72-79.
8. Kalman, R.E. and Bucy, R.S., New Results in Linear Filtering and Prediction Theory, Trans. of ASME, J. Basic Eng., Vol. 83 (1961), p. 95-108.
9. Wishner, R.P., Larson, R.E. and Athans, M., Status of Radar Tracking Algorithm, IEEE Symp. Nonlinear Estim. Theory Appl., San Diego, September, (1970), p. 32-54.
10. Jazwinski, A.H., Adaptive Filtering, Automatica, Vol. 5 (1969), p. 475-485.
11. Mehre, R.K., On the Identification of Variances and Adaptive Kalman Filtering, IEEE Trans. on Automatic Control, Vol. AC-15, No. 2 (1970), p. 175-184.
12. Sorenson, H.W. and Sacks, J.E., Recursive Fading Memory Filtering, Information Sciences, (1971), p. 101-119.
13. Giordano, A.A. and Hsu, F.M., Least Square Estimation with Applications to Digital Signal Processing, (1985), Wiley, New York.
14. Peters, S.D. and Antonious, A., A Parallel Adaptation Algorithm for Recursive Least Squares Adaptive Filters in Nonstationary Environments, IEEE Trans. Signal Processing, Vol. 43, No. 11 (1995), p. 2484-2495.