Recursive information forgetting with augmented UD identification

REFERENCES

• ÅSTRÖM , K. , BORISSON , U. , LJUNG , L. , and WITTENMARK , B. , 1977 , Theory and application of self-tuning regulators , Automatica , 13 , 457 – 476 .
   Web of Science ®Google Scholar
• ÅSTRÖM , K. J. , and WITTENMARK , B. , 1980 , Self-tuning controllers based on pole-zero placement . Proceedings of the Institution of Electrical Engineers , Pt D , 127 , 120 – 123 .
   Google Scholar
• BIERMAN , G. J. , 1977 , Factorization Methods for Discrete Sequential Estimation ( New York : Academic Press ).
   Google Scholar
• CLARKE , D. W. , 1994 , The Niu/Fisher UDU updating algorithm, Private Correspondence .
   Google Scholar
• CORDERO , A. , and MAYNE , D. Q. , 1981, Deterministic convergence of a self-tuning regulator with variable forgetting factor. Proceedings of the Institution of Electrical Engineers , Pt D, 128, 19–23.
   Google Scholar
• FORTESCUE , T. R. , KERSHENBAUM , L. S. , and YDSTIE , B. E. , 1981 , Implementation of self-tuning regulator with variable forgetting factor . Automatica , 17 , 831 – 835 .
   Web of Science ®Google Scholar
• GOODWIN , G. C. , and SIN , K. S. , 1984 , Adaptive Filtering Prediction and Control ( Englewood Cliffs , New Jersey , U.S.A. : Prentice Hall ).
   Google Scholar
• GOODWIN , G. C. , and TEOH , E. K. , 1983 , Adaptive control of a class of linear time-varying systems . Preprints of the IF AC Workshop on Adaptive System Control, Signal Processing , San Francisco , California , U.S.A .
   Google Scholar
• HÄGGLUND , T. , 1983 , The problem of forgetting old data in recursive estimation . In Preprints of the IFAC Workshop on Adaptive System Control; Signal Processing , San Francisco , California , U.S.A , Paper SAC-6 .
   Google Scholar
• HOLST , J. , and POULSEN , N. K. , 1984 , Self-tuning control of plants with abrupt changes . Preprints of the 9th IFAC world congress , Budapest , Hungary , Vol. VII , pp. 144 – 149 .
   Google Scholar
• IRVING , E. , 1979 , New developments in improving power network stability with adaptive control . Yale Workshop Application Adaptive Control , Yale, New Haven , Connecticut , U.S.A.
   Google Scholar
• ISAKSSON , A. , 1987 , Identification of time-varying systems through adaptive Kalman filtering . Preprints of the 10th IFAC world congress , Munich , Germany , Vol. X , pp. 306 – 311 .
   Google Scholar
• KULHÁVY , R. , 1987 , Restricted exponential forgetting in real-time identification . Automatica , 23 , 589 – 600 .
   Web of Science ®Google Scholar
• KULHÁVY , R. , and KARNY , M. , 1984 , Tracking of slowly varying parameters by directional forgetting . Proceedings of the 9th IFAC Triennial World Congress , Budapest , Hungary , Vol. 2 , pp. 687 – 692 .
   Google Scholar
• LJUNG , L. , 1987 , System Identification Theory for the User ( Englewood Cliffs , New Jersey , U.S.A. : Prentice Hall ).
   Google Scholar
• LJUNG , L. , and GUNNARSSON , S. , 1990 , Adaption and tracking in system identification—a survey . Automatica , 26 , 7 – 21 .
   Web of Science ®Google Scholar
• LJUNG , L. , and SÖDERSTRÖM , T. , 1983 , Theory and Practice of Recursive Identification ( Cambridge , Massachusetts , U.S.A. : MIT Press ).
   Google Scholar
• NIU , S. , and FISHER , D. G. , 1995 , Simultaneous estimation of process parameters, noise variance and signal-to-noise ratio . IEEE Transactions on Signal Processing , 43 , 1725 – 1728 .
   Google Scholar
• NIU , S. , and LJUNG , L. , 1994 , Multiple model parameter estimation . Technical Report, LiTH-ISY-R-1712 . Department of Electrical Engineering, Linköping University , Sweden .
   Google Scholar
• NIU , S. , FISHER , D. G. , and XIAO , D. , 1992 , An augmented UD identification algorithm . International Journal of Control , 56 , 193 – 211 .
   Web of Science ®Google Scholar
• NIU , S. , XIAO , D. , and FISHER , D. G. , 1990 , A recursive algorithm for simultaneous identification of model order and parameters . IEEE Transactions on Acoustics, Speech, and Signal Processing 38 , 884 – 886 .
   Google Scholar
• NIU , S. , FISHER , D. G. , LJUNG , L. , and SHAH , S. L. , 1994 , Augmented UD identification—an overview . Technical Report, LiTH-ISY-R-1710 , Department of Electrical Engineering, Linköping University , S58183 , Sweden .
   Google Scholar
• PARKUM , J. E. , POULSEN , N. K. , and HOLST , J. , 1992 , Recursive forgetting algorithms . International Journal of Control , 55 , 109 – 128 .
   Web of Science ®Google Scholar
• SAELID , S. , and FOSS , B. , 1983 , Adaptive controllers with a vector variable forgetting factor . In Proceedings of the 22nd IEEE Conference on Decision and Control , San Antonio , Texas , U.S.A. , pp. 1488 – 1494 .
   Google Scholar
• SALGADO , M. E. , GOODWIN , G. C. , and MIDDLETON , R. H. , 1988 , Modified least-squares algorithm incorporating exponentially resetting and forgetting . International Journal of Control , 47 , 477 – 491 .
   Web of Science ®Google Scholar
• SEBORG , D. E. , EDGARD , T. F. , and SHAH , S. L. , 1986 , Adaptive control strategies for process control—a survey . AIChE Journal , 32 , 881 – 913 .
   Web of Science ®Google Scholar
• SRIPADA , N. R. , and FISHER , D. G. , 1987 , Improved least-squares identification . International Journal of Control , 46 , 1889 – 1913 .
   Web of Science ®Google Scholar
• VOGEL , E. F. , and EDGAR , T. F. , 1982 , Application of an adaptive pole-zero placement controller to chemical process with variable deadtime . Proceedings of the 1982 American Control Conference , Washington DC , U.S.A. , pp. 536 – 544 .
   Google Scholar
• YIN , G. , 1989 , A stopping rule for Least-Squares identification . IEEE Transactions on Automatic Control , 34 , 659 – 662 .
   Google Scholar