Searched for: subject%3A%22Model%255C-Based%22
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document
Liu, J. (author), Borja, Pablo (author), Della Santina, C. (author)
This work concerns the application of physics-informed neural networks to the modeling and control of complex robotic systems. Achieving this goal requires extending physics-informed neural networks to handle nonconservative effects. These learned models are proposed to combine with model-based controllers originally developed with first...
journal article 2024
document
Liu, Y. (author), Ferrari, Riccardo M.G. (author), Wu, Ping (author), Jiang, X. (author), Li, Sunwei (author), van Wingerden, J.W. (author)
Floating Offshore Wind Turbines (FOWTs) operate in the harsh marine environment with limited accessibility and maintainability. Not only failures are more likely to occur than in land-based turbines, but also corrective maintenance is more expensive. In the present study, a mixed model and signal-based Fault Diagnosis (FD) architecture is...
journal article 2021
document
Liu, D. (author), Yu, Wenwu (author), Baldi, S. (author), Cao, Jinde (author), Huang, Wei (author)
The work presented in this paper concerns a switching-based control formulation for multi-intersection and multiphase traffic light systems. A macroscopic traffic flow modeling approach is first presented, which is instrumental to the development of a model-based and switching-based optimization method for traffic signal operation, in the...
journal article 2020
document
Liu, Zheheng (author)
In this thesis, we investigate a sparse basis for ultrasound images, so that we can use sparse regularization in imaging. Actually, there are few previous researches explicitly demonstrating that medical ultrasound images can be sparsified for some dictionary. We consider various orthogonal transforms such as wavelet transforms, cosine...
master thesis 2019
Searched for: subject%3A%22Model%255C-Based%22
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