Browsing NTNU Open by Author "Lundby, Erlend Torje Berg"
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Autonom stegvis banegenerering og banefølging for en undervannsdrone
Lundby, Erlend Torje Berg (Master thesis, 2019)Denne oppgaven presenterer de hovedkomponentene til en Autonom Undervannsfarkost (AUV) som erknyttet til kontroll og overordnede beslutninger i det autonome systemet. Dette inkluderer et systemsom er ansvarlig for ... -
A Comparative Study of Sparsity Promoting Techniques in Neural Network for Modeling Non-Linear Dynamics
Haugstvedt, Emil Johannesen; Mino Calero, Alberto; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy (Journal article; Peer reviewed, 2023)Sparsity-promoting techniques show promising results in improving the generalization of neural networks. However, the literature contains limited information on how different sparsity techniques affect generalization when ... -
Data-Driven Dynamical Modeling in the Face of Data Limitations
Lundby, Erlend Torje Berg (Doctoral theses at NTNU;2023:206, Doctoral thesis, 2023)Data-driven modeling has experienced an enormous increase in popularity recent years due to the ever-growing data abundance, access to cheap computational resources and great advances in algorithms and methodology. This ... -
Deep learning assisted physics-based modeling of aluminum extraction process
Robinson, Haakon; Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)Modeling complex physical processes such as the extraction of aluminum is mainly done using pure physics-based models derived from first principles. However, the accuracy of these models can often suffer due to a partial ... -
A novel hybrid analysis and modeling approach applied to aluminum electrolysis process
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan (Peer reviewed; Journal article, 2021)Aluminum electrolysis cells are characterized by harsh environments where several measurements have to be done manually. Due to the operational costs related to manual sampling, the sampling rates of these measurements are ... -
Sparse deep neural networks for modeling aluminum electrolysis dynamics
Lundby, Erlend Torje Berg; Rasheed, Adil; Gravdahl, Jan Tommy; Halvorsen, Ivar Johan (Peer reviewed; Journal article, 2023)Deep neural networks have become very popular in modeling complex nonlinear processes due to their extraordinary ability to fit arbitrary nonlinear functions from data with minimal expert intervention. However, they are ... -
Sparse neural networks with skip-connections for nonlinear system identification
Lundby, Erlend Torje Berg; Robinson, Haakon; Rasheed, Adil; Halvorsen, Ivar Johan; Gravdahl, Jan Tommy (Peer reviewed; Journal article, 2023)