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The tuning algorithm involves two steps.
Adaptive tuning algorithm for standard controller adjustment is presented.
This tuning algorithm is convenient and easy to utilize.
Fig. 4 The CLAT algorithm (the default tuning algorithm of RSpring).
Furthermore, it can be implemented without requirement to tuning algorithm and complex calculation.
Informative data is achieved through application of an external probing signal in the tuning algorithm.
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However, tuning algorithm-specific parameters for solving FFSP is rather tricky and time consuming.
Similar to the generic Jaya algorithm (G-Jaya), the GPU-Jaya is free of tuning algorithm-specific parameters.
Unlike previous approaches, the proposed self-tuning algorithm takes QoE (and not QoS) into account.
Then, Section 3 presents the proposed self-tuning algorithm for scheduler parameters.
The control system is developed using a single-parameter, nonlinear controller along with a parameter-tuning algorithm.
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