The present work proposes a new class of algorithms for identification of fast linear time-varying systems on short time intervals, based on the biorthogonal function decomposition. When certain features of the system dynamics are known a priori, the algorithms admit their embedding into the identification procedure through the choice of the matching bases, yielding the rapidly convergent identification laws. The speed-up is attained via utilizing both time and frequency localized bases, permitting identification of fewer coefficients without noticeable loss of accuracy. Simulation shows that the resulting high speed identification algorithms can reject small persistent random disturbances as well as capture the fast changes in system dynamics. The algorithm development is based on the results of Part I where it is shown that the sets of all bounded-input-bounded-output (BIBO) stable or -stable linear discrete-time-varying (LTV) systems are Banach spaces, and modeling and identification of these systems are reducible to linear approximation problems in a Banach space setting.
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December 2001
Technical Papers
Biorthogonal Wavelet Based Identification of Fast Linear Time-Varying Systems—Part II: Algorithms and Performance Analysis12
Haipeng Zhao,
Haipeng Zhao
Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801
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Joseph Bentsman
e-mail: jbentsma@uiuc.edu
Joseph Bentsman
Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801
Search for other works by this author on:
Haipeng Zhao
Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801
Joseph Bentsman
Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, 1206 West Green Street, Urbana, IL 61801
e-mail: jbentsma@uiuc.edu
Contributed by the Dynamic Systems and Control Division for publication in the Journal of Dynamic Systems, Measurement, and Control. Manuscript received by the Dynamic Systems and Control Division December 27, 2000. Associate Editor: S. Fassois.
J. Dyn. Sys., Meas., Control. Dec 2001, 123(4): 593-600 (8 pages)
Published Online: December 27, 2000
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Received:
December 27, 2000
Citation
Zhao, H., and Bentsman, J. (December 27, 2000). "Biorthogonal Wavelet Based Identification of Fast Linear Time-Varying Systems—Part II: Algorithms and Performance Analysis." ASME. J. Dyn. Sys., Meas., Control. December 2001; 123(4): 593–600. https://doi.org/10.1115/1.1409550
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