2007
DOI: 10.1137/050643416
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Performance Recovery in Digital Implementation of Analogue Systems

Abstract: In this paper, the generalized bilinear transformation (GBT) is proposed. Compared with the traditional bilinear, zero-order hold (ZOH) and first-order hold transformations, one advantage of GBT is that it may convert unstable poles (zeros) to stable poles (zeros). It is proved that controllability and observability are invariant under GBT. After that, it is shown that the performance of a sampled-data system obtained via GBT approaches that of the analogue system as the underlying sampling period goes to zero… Show more

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Cited by 7 publications
(8 citation statements)
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References 43 publications
(58 reference statements)
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“…Another advantage of GBT is that it allows slow sampling. It has been shown in Chen and Francis (1995), Rabbath, Hori and Lechevin (2004), and Zhang et al (2007a) that as the sampling period h goes to zero, the performance of sampled-data systems converges to that of the original continuous-time systems. However, instead of concentrating on the behaviour as h !…”
Section: Introductionmentioning
confidence: 90%
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“…Another advantage of GBT is that it allows slow sampling. It has been shown in Chen and Francis (1995), Rabbath, Hori and Lechevin (2004), and Zhang et al (2007a) that as the sampling period h goes to zero, the performance of sampled-data systems converges to that of the original continuous-time systems. However, instead of concentrating on the behaviour as h !…”
Section: Introductionmentioning
confidence: 90%
“…The proposed method is equivalent to GBT when is restricted to the interval [0.5, 1). A technique identical to that in Zhang et al (2007a) is studied in Sekara (2006) where the parameter is restricted to the interval [0, 1]. However, it is shown by Examples 4.1-4.3 that, by allowing 2 (À1, 1), better performance could be achieved.…”
Section: Introductionmentioning
confidence: 93%
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“…The plant input mapping approach was developed in [12], [13], [14]. Zhang and Chen proved that the L p performance of their approach converges to the continuous system performance, when the sampling period tends to zero [15]. Traditionally the most popular criteria of performance recovery are connected with the step response.…”
Section: Introductionmentioning
confidence: 99%