An Introduction to Iterative Learning Control - Inside Mines
An Introduction to Iterative Learning Control - Inside Mines
An Introduction to Iterative Learning Control - Inside Mines
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Convergence and Error <strong>An</strong>alysis (cont.)<br />
Convergence with Zero Error (cont.)<br />
• This can also be written in a matrix fraction as:<br />
but where we now have:<br />
U(w) = C(w)E(w)<br />
C(w) = (w − 1) −1 D −1<br />
c (w)Nc(w)<br />
• Thus, we now have an integra<strong>to</strong>r in the feedback loop (a discrete integra<strong>to</strong>r, in the repetition<br />
domain) and, applying the final value theorem <strong>to</strong> Gcl, we get Ek → 0 as long as the ILC<br />
algorithm converges (i.e., as long as Gcl is stable).