1 code implementation • 26 Mar 2024 • Muhammad Zakwan, Liang Xu, Giancarlo Ferrari-Trecate
Third, this parametrization and the inequality condition enable the design of contractivity-enforcing regularizers, which can be incorporated while designing the NN controller for exponential stabilization of the underlying nonlinear systems.
1 code implementation • 26 Mar 2024 • Muhammad Zakwan, Giancarlo Ferrari-Trecate
Controlling large-scale cyber-physical systems necessitates optimal distributed policies, relying solely on local real-time data and limited communication with neighboring agents.
1 code implementation • 23 Nov 2023 • Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari Trecate, Colin N. Jones
This manuscript details the SIMBa toolbox (System Identification Methods leveraging Backpropagation), which uses well-established Machine Learning tools for discrete-time linear multi-step-ahead state-space System Identification (SI).
1 code implementation • 6 Nov 2023 • Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones
Machine Learning (ML) and linear System Identification (SI) have been historically developed independently.
no code implementations • 6 Jun 2023 • 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.
no code implementations • 21 Mar 2023 • 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 Differential Equations.
no code implementations • 11 Nov 2022 • Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic, Philipp Heer, Colin N. Jones, Giancarlo Ferrari Trecate
Since IPHS models are consistent with the first and second principles of thermodynamics by design, so are the proposed Physically Consistent NODEs (PC-NODEs).
1 code implementation • 22 Mar 2022 • Muhammad Zakwan, Liang Xu, Giancarlo Ferrari-Trecate
Since in NODEs the input data corresponds to the initial condition of dynamical systems, we show contractivity can mitigate the effect of input perturbations.
1 code implementation • 16 Dec 2021 • Luca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate
A main challenge of NN controllers is that they are not dependable during and after training, that is, the closed-loop system may be unstable, and the training may fail due to vanishing and exploding gradients.
1 code implementation • 6 Dec 2021 • Liang Xu, Muhammad Zakwan, Giancarlo Ferrari-Trecate
The energy Casimir method is an effective controller design approach to stabilize port-Hamiltonian systems at a desired equilibrium.
no code implementations • 9 Feb 2021 • Muhammad Zakwan
This paper discusses the stability analysis of linear parameter varying systems with a parameter-dependent delay where the parameters are assumed to be stochastic piecewise constants under spontaneous Poissonian jumps.