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 MoreMetadata
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.
Published in: 53rd IEEE Conference on Decision and Control
Date of Conference: 15-17 December 2014
Date Added to IEEE Xplore: 12 February 2015
ISBN Information:
Print ISSN: 0191-2216