Optimal anti-aliasing filter based on multi criteria sampled-data ∞ control
Paper in proceedings, 2015

A systematic evaluation procedure is presented and applied to generate optimal anti-aliasing filters. It is based on multi criteria ∞ 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.

Author

Bengt Lennartson

Chalmers, Signals and Systems, Systems and control, Automation

Richard Middleton

Proceedings of the 53rd IEEE Annual Conference on Decision and Control, CDC 2014, Los Angeles, United States, 15-17 December 2014

0743-1546 (ISSN)

4348-4354

Areas of Advance

Information and Communication Technology

Production

Subject Categories

Control Engineering

DOI

10.1109/CDC.2014.7040067

More information

Created

10/7/2017