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Optimal Filter Design via Mathematical Programming | IEEE Journals & Magazine | IEEE Xplore

Optimal Filter Design via Mathematical Programming


Abstract:

Designing compensators with prespecified gain and phase properties has long been a trial-and-error exercise. Some recent efforts to optimize the filter-design process hav...Show More

Abstract:

Designing compensators with prespecified gain and phase properties has long been a trial-and-error exercise. Some recent efforts to optimize the filter-design process have generated a least-squares fit to some desired filter function. A new technique is presented which optimizes the design process in the L2 sense subject to performance inequality (feasibility) constraints. The achieved filter is shown to be locally optimal as well as feasible. In addition, the developed algorithm can be used to seek a minimal-order optimal filter.
Published in: IEEE Transactions on Systems, Man, and Cybernetics ( Volume: SMC-3, Issue: 4, July 1973)
Page(s): 382 - 389
Date of Publication: 12 November 2007

ISSN Information:


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