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We present a particular choice of the intermediate distributions and discuss the properties of the derived algorithm.
Because the derived algorithm for ANVC systems is based on RLS recursion, its computational complexity is of order O(n2) which is too high for real-time implementations.
Furthermore, the derived algorithm is verified by a practical application in steel industry that arranges the cold rolling scheduling of a batch of steel coils.
In our derived algorithm, the parameter of constant modulus, α, relating to the desired user power is updated adaptively via stochastic gradient algorithm to track userʼs amplitude variation.
In this paper, a newly derived algorithm to predict locations and severities of damage in structures using changes in modal characteristics is presented.
The practical applicability of the derived algorithm has been tested on the Capstone C30 microturbine installed at the Polytechnic University of Bari, Italy.
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The accuracy and stability of the derived algorithms are presented.
Finally, a mass spring damper system is applied to confirm the performance of the derived algorithms.
A numerical example is given to illustrate the effectiveness of the derived algorithms.
WCA and its derived algorithms provide better performance with compromised setup delay.
The derived algorithms are briefly evaluated in Section 6 to show the effect of the individual approximations used in the derivation.
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CEO of Professional Science Editing for Scientists @ prosciediting.com