Abstract
Continuous-time system identification usually consists of two main parts: signal processing (or pre-filtering) and parameter estimation. Both analog and digital pre-filters for signal processing can be used, where analog pre-filters are implemented in a digital computer by using such techniques as the numerical integration and the bilinear transformation. As for parameter estimation, an emphasis is put on on-line identification algorithms. Using the pre-filters of digital form, a discrete-time identification model which retains the continuous-time model parameters is derived. Some fundamental identification methods such as the least squares method, bias-compensating methods and instrumental variable methods are reviewed. Finally the choice of the input signal is discussed with simulation experiments.
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© 1991 Springer Science+Business Media Dordrecht
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Sagara, S., Zhao, Z.Y. (1991). Application of digital filtering techniques. In: Sinha, N.K., Rao, G.P. (eds) Identification of Continuous-Time Systems. International Series on Microprocessor-Based Systems Engineering, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-3558-0_10
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DOI: https://doi.org/10.1007/978-94-011-3558-0_10
Publisher Name: Springer, Dordrecht
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