4 citations · 5 across the 4 of their papers we have counts for
4 papers
Neural Exponential Stabilization of Control-affine Nonlinear Systems
Muhammad Zakwan, Liang Xu, Giancarlo Ferrari-Trecate
This paper proposes a novel learning-based approach for achieving exponential stabilization of nonlinear control-affine systems. We leverage the Control Contraction Metrics (CCMs)…
Modulation Classification Through Deep Learning Using Resolution Transformed Spectrograms
Muhammad Waqas, Muhammad Ashraf, Muhammad Zakwan
Modulation classification is an essential step of signal processing and has been regularly applied in the field of tele-communication. Since variations of frequency with respect to…
Universal Approximation Property of Hamiltonian Deep Neural Networks
Muhammad Zakwan, Massimiliano d'Angelo, Giancarlo Ferrari-Trecate
This paper investigates the universal approximation capabilities of Hamiltonian Deep Neural Networks (HDNNs) that arise from the discretization of Hamiltonian Neural Ordinary Diffe…
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach
Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan +1
Large-scale cyber-physical systems require that control policies are distributed, that is, that they only rely on local real-time measurements and communication with neighboring ag…