This paper addresses the stabilization problem for a perturbed double–integrator affected by a bounded perturbation featuring a constant upperbound which is a priori unknown. We propose an adaptive feedback law, composed by the interconnection between a linear state-feedback controller and the twisting controller with...
Paul Mayr, A. Pilloni, A. Pisano et al.· International Workshop on Va...· 0 citations
We present the first dispersive extraction of resonant poles from analytically continued neural networks. We use S-matrix informed neural networks (SINNs) trained to respect unitarity, analyticity, and crossing symmetry, without fixing a specific amplitude parametrization. The SINN framework controls representation dep...
W. Smith, A. Rodas, Marius D. Thomas et al.· 0 citations
This work introduces S-matrix informed neural networks (SINNs), and demonstrates their ability to learn scattering amplitudes directly from data while respecting first principles, and develops a novel data selection procedure which uses the response of constrained neural network ensembles to identify a set of experimen...
W. Smith, A. Rodas, Marius D. Thomas et al.· 0 citations
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