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For the case where there exists an arbitrary constant reference signal, a distributed adaptive controller together with an internal model are presented to achieve output tracking in the sense that the subsystem outputs asymptotically follow a reference constant.
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Given, let be an arbitrary constant with.
For bounded case, "a" can be an arbitrary constant.
Given, let be an arbitrary constant with, that is (2.12).
Let and let be an arbitrary constant with.
One simple possibility would, e.g., be to assume an arbitrary constant for the mean and variance.
Meanwhile, for an arbitrary constant (varepsilon>0), there exists (T>0) such that bigllangle -g-0.5delta_{1}^{2}bigrrangle leqbigllangle -g-0.5delta_{1}^{2}bigrrangle ^+ frac{varepsilon}{3},qquad bigllangle f(t) x t bigrrangle leq f^ bigllangle x t bigrrangle ^+frac{varepsilon}{3},quad mbox{and} quad M_{2}(t)leq frac{varepsilon}{3}t for all (t>T).
Let be the probability space we consider, an arbitrary constant.
It has an arbitrary constant in it, but you note it's not an additive arbitrary constant.
In the table, the symbol c denotes an arbitrary constant.
A question mark cx is an arbitrary constant, and a question mark vx is an arbitrary variable.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com