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For unfixed pulsed model, the results show that this model exists very complex dynamics and the host population can be controlled below ET, and it implies that the modelling methods are helpful for improving optimal strategies to design appropriate IPM.
In 2010, they initiated the incorporation of a SPL for non-nutrients and a proposed Intake that is based on reducing the risk of non-communicable chronic disease and improving optimal health.
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Its non-linear control scheme is applied using the improved optimal SM control method.
Adjunctive balloon dilatation strategy has been shown to improve optimal stent deployment.
The simulation results verify that the proposed improved optimal SM control achieve the true nominal optimal suspension performance for a non-linear active suspension system in general condition.
The results also show that even if the structure parameters and/or running conditions change, the proposed improved optimal SM control can still provide more robust characteristics.
The advantages of the proposed controller are illustrated by comparing the performance of the improved optimal SM control, the fuzzy logical SM control, and the passive suspension.
The result shows that improved optimal network design with maximum reliability is achievable by novel neural network at manageable computational cost.
It is shown that the introduction of new ply orientations compared to the classical 0°, ±45° and 90° plies can lead to significantly improved optimal designs.
The improved optimal SM controller is designed by constructing an augmented optimal sliding mode manifold function, which includes all of the information of the structure and expected performance of the suspension.
In this work we address the simultaneous product and process design problem of working fluids for energy recovery from low-temperature energy sources in Rankine-like cycles to obtain improved optimal solutions.
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