Sentence examples for model based experiments from inspiring English sources

The design of optimal model based experiments is finding increasing use in various fields including chemical, pharmaceutical, biological engineering, and biomedicine.

As an important prerequisite, optimal model based experiment design ensures proper excitation of the system dynamics while the desired SoC operating range is covered.

The effectiveness of the proposed method is demonstrated on a complex nonlinear dynamic engine simulation model and an analysis as well as a comparison of the presented model architectures for model based experiment design is given.

In this work we report a systematic study using a nonlocal damage model based on experiments with size-scaled specimens of a German reactor pressure vessel steel.

In addition, physical building model based laboratory experiments are also conducted, The results demonstrate the advantages of the proposed nonlinear damping technologies over both traditional linear damping and more advanced Linear-Quadratic Gaussian (LQG) feedback control which have been used in practice to address building isolation system design and implementation problems.

Model based design of experiments is targeted to make experiments as informative as possible so as to reduce experimental effort by simultaneously gathering all relevant information of the process.

The systematic approach that seamlessly combined experimentation and mathematical modelling, allowed both for the model based design of experiments that yielded valuable biological insight and for the prediction of the optimal hyperosmotic induction time.

Nguyen, T. D., Oloyede, A. & Gu, Y. T. Stress relaxation analysis of single chondrocytes using porohyperelastic model based on AFM experiments.

A model based on kinetic experiments and thermodynamic calculations was developed for the system.

The methodology comprises the architecture of local model networks (LMN) and optimal model based design of experiments (DoE).

This paper addresses the topic of model based design of experiments for the identification of nonlinear dynamic systems.