Optimal anti-aliasing filter based on multi criteria sampled-data ℋ∞ control | IEEE Conference Publication | IEEE Xplore
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Optimal anti-aliasing filter based on multi criteria sampled-data ℋ∞ control


Abstract:

A systematic evaluation procedure is presented and applied to generate optimal anti-aliasing filters. It is based on multi criteria ℋ∞ optimization, where sampled-data me...Show More

Abstract:

A systematic evaluation procedure is presented and applied to generate optimal anti-aliasing filters. It is based on multi criteria ℋ optimization, where sampled-data measures are introduced to capture the intersample behavior. The optimization scheme is based on linear matrix inequalities (LMIs) formulated in the delta operator, and the result is a low order controller of PID type. Both low frequency performance, mid frequency stability margins and high frequency control activity are taken into account. A detailed investigation shows that a new simple rule for design of anti-aliasing filters gives nearly optimal closed loop performance for a number of representative plant models.
Date of Conference: 15-17 December 2014
Date Added to IEEE Xplore: 12 February 2015
ISBN Information:
Print ISSN: 0191-2216
Conference Location: Los Angeles, CA, USA

References

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