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In this paper, we investigate the influence of deviations in the design and implementation parameters on the damping properties of multilayer viscoelastic structures.
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We present various case studies to thoroughly explore the existing solutions proposed in the literature in various categories according to their design and implementation related parameters.
A new methodology for the design and implementation of linear parameter varying (LVP) controllers for multi-rate sampled-data systems is presented and its stability properties are analyzed.
During early phases of design and implementation, not all the parameter values of a performance model are usually known exactly.
Experiment design and implementation, data pretreatment, model parameter identification and application of the obtained model for the estimation and prediction of the SOFC stack maximum and minimum temperatures are covered.
Its design and implementation do not need a tedious parameter tuning, thus showing robustness to accommodate structural variations in the primary structure.
This makes the overall design and implementation of the method easier, and possibly decreases the number of adjustable parameters.
For the design and implementation of the controller, no knowledge is assumed on the unknown system parameters and nonlinearity.
"System design" section presents the design and implementation of iiHadoop.
We present the design and implementation of the PokerFace framework in "Design and implementation" section.
"System design and implementation" section presents the system design and implementation of the emotional movie.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com