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Practical challenges in data‐driven interpolation: Dealing with noise, enforcing stability, and computing realizations

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary In this contribution, we propose a detailed study of interpolation‐based data‐driven methods that are of relevance in the model reduction and also in the systems and control communities. The data are given by samples of the transfer function of the underlying (unknown) model, that is, we analyze frequency‐response data.
Quirin Aumann, Ion Victor Gosea
wiley +1 more source

The Long Term Effects of a 12‐Session Community Exercise Program on Health Measures in Cancer Patients

Aging and Cancer, EarlyView.
ABSTRACT Purpose To assess the long‐term effects of a community cancer exercise program on quality of life, fatigue, weight, waist circumference, physical activity levels, lower extremity strength, body mass index (BMI), heart rate, and blood pressure, across non‐metastatic and metastatic patients.
Isaac Oppong, Roozbeh Naemi
wiley +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti +2 more
wiley +1 more source

Three-Dimensional Image Information Media: Offset-Block Matching of Multi-view Images for Ray-Space Interpolation