We research the identification, control, and excitation of nonlinear dynamic systems with automatic differentiation.
Machine Learning Applications in Control Engineering (ML-ACE)
Research group for data-driven control and identification of nonlinear dynamic systems.
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- Germany
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- DMPE Public
The implementation for the differentiable model predictive excitation algorithm for excitation of unknown, non-linear systems
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- exciting-systems-research Public
Code released by the ExcitingSystems research group to support scientific publications
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