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The parameters involved in the DPZ method are tuned based on experimental data in prior.
As the PI control parameters are usually tuned, based on classical approaches.
The controller performance can be tuned based on a reference model.
The parameters of the SHVDC regulators are tuned based on a specific residues method.
In addition, empirical models were tuned based on dataset collected in situ.
The parameters associated with the algorithm are tuned based on the Taguchi method.
The antecedent parameters of GT2FS are tuned based on a modified form of social spider optimization (SSO) algorithm.
Controllers for trajectory tracking have previously been designed and tuned based on a physical or empirical plant model.
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All the other parameters were fine-tuned based on aesthetic considerations.
A local frequency-tuned based saliency extraction technique is designed for highlighting the salient regions, firstly.
A local frequency-tuned based saliency extraction technology is designed for highlighting the potential targets area.
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