Nicholas S. Selby
Orcid: 0000-0001-9476-4850
According to our database1,
Nicholas S. Selby
authored at least 6 papers
between 2017 and 2021.
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Bibliography
2021
On the Application of Machine Learning and Physical Modeling Theory to Causal Lifting Linearizations of Nonlinear Dynamical Systems with Exogenous Input and Control.
PhD thesis, 2021
Learning of Causal Observable Functions for Koopman-DFL Lifting Linearization of Nonlinear Controlled Systems and Its Application to Excavation Automation.
IEEE Robotics Autom. Lett., 2021
Physics-Based Causal Lifting Linearization of Nonlinear Control Systems Underpinned by the Koopman Operator.
CoRR, 2021
2017
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017
Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017
Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, 2017