Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7109688 | Automatica | 2015 | 11 Pages |
Abstract
Partial plant knowledge may be used to develop model-based extremum seekers; however, existing results rely on a type of time-scale separation which leads to slow optimization relative to the plant dynamics. In this work, a fast model-based extremum seeking scheme is proposed for a Hammerstein plant, and semi-global stability results are provided. The structure of a Hammerstein plant is used to advantage in designing filters that enable the extremum seeker to act on a faster time-scale than the plant dynamics. This leads to fast convergence while maintaining semi-global stability.
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Control and Systems Engineering
Authors
Jalil Sharafi, William H. Moase, Chris Manzie,