Sensitivity of structures for the identification of linear systems from impulse response data
作者： V.E. DeBrunner , A.A. Beex
DOI: 10.1109/ICASSP.1989.266904
关键词: Newton's method 、 Control theory 、 Digital filter 、 Impulse response 、 Quantization (signal processing) 、 Estimation theory 、 Mathematics 、 Rate of convergence 、 Linear system 、 Transient response
摘要: The authors investigate the usefulness of structures with high parameter sensitivities for purpose increasing convergence rate identification algorithms. In particular, they examine two SISO (single input, single output) structures: direct form II and dual generalized Hessenberg representation. A Gauss-Newton procedure is presented implementing from impulse response data. then present a sensitivity analysis provide some illustrative examples. >
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