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We consider a restricted case, namely, when the set point sequence is constant.
For this purpose points accrue strictly in this order: blank, point, sequence, set.
The control requirements are expressed in terms of a set point sequence as usual in the literature.
Extremum seeking is realized via a state regulator that drives the state traveling along a convergent set point sequence generated by a numerical optimization algorithm.
Thus is an approximate fixed point sequence.
Let be an approximate fixed point sequence.
At that point, sequence of returns will impact — sometimes drastically — your internal rate of return.
Let be an approximate fixed point sequence and let.
First, we find an approximate fixed point sequence.
A black line is an input point sequence.
Let be a bounded approximate fixed point sequence, i.e., and.
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