Mechanical systems often exhibit complex behaviours arising from material nonlinearities, component interactions and varying operating conditions. Nonlinear system identification seeks to construct ...

An accurate estimation of system parameters is crucial for ensuring high-performance modelling and adaptive control of nonlinear systems, particularly in quantized environments. However, existing ...

Researchers in Stuttgart have introduced a machine-learning framework that identifies stable, passive port-Hamiltonian models ...