A Systematic Approach to Extremum Seeking Based on Parameter Estimation
Dragan Nesic, Alireza Mohammadi, Chris Manzie
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | IEEE | Published : 2010
We present a systematic approach for design of extremum seeking (ES) controllers for a class of uncertain plants that are parameterized with unknown parameters. First, we present results for static plants and show how it is possible to combine, under certain general conditions, an arbitrary optimization method with an arbitrary parameter estimation method in order to obtain extremum seeking. Our main results also specify how controller needs to be tuned in order to achieve extremum seeking. Then, we consider dynamic plants and separate our results into the stable plant case and unstable plant case. For each of these cases, we present conditions on general plants, controllers, observers, para..View full abstract
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Awarded by Australia Research Council
This work wassupported by Australia Research Council Discovery Grant, DP0985388.