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The optimization problem associated with the proposed MPC strategy is formulated exploiting newly designed control constraints.
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Afterwards, to solve its drawbacks, an alternative model was formulated exploiting the logarithm operator.
A rational yet tractable theory to account for these observations is formulated and exploited in particular cases of current practical interest e.g. the deposition of trace alkali sulfate vapors present in combustion products.
A dynamic combination scheme of genetic operators is formulated to explore and exploit the FPGA in the non-convex solution space and multimodal objective function.
A multi-band decision-fusion strategy was formulated to exploit information from multiple spectral bands in order to improve the classification of bruised-unbruised pixels.
Optimal beamformers are formulated to exploit spatial information of desired and undesired signals in such a way that the desired one is extracted and undesired signals are suppressed [1, 2].
For that purpose an optimization model was formulated and exploited.
By exploiting this feature, a tight optimization problem is formulated for any evolutionary step.
Second, the model is formulated such that a sparse and banded Jacobian can be exploited.
By exploiting this feature, a robust and efficient NLP problem is formulated.
Secondly the issue is formulated as a stochastic optimization problem, and a real-time power allocation algorithm is exploited with low complexity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com