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math.DS2023★ 4 cited
Exact Linearization of Minimally Underactuated Configuration Flat Lagrangian Control Systems by Quasi-Static Feedback of Classical States
Georg Hartl, Conrad Gstöttner, Bernd Kolar +1
We study the exact linearization of configuration flat Lagrangian control systems with p degrees of freedom and p-1 inputs by quasi-static feedback of classical states. First, we p…
math.OC2023★ 5 cited
Data-driven control and transfer learning using neural canonical control structures*
Lukas Ecker, Markus Schöberl
An indirect data-driven control and transfer learning approach based on a data-driven feedback linearization with neural canonical control structures is proposed. An artificial neu…