4 citations · 7 across the 14 of their papers we have counts for
14 papers
Free Parametrization of L_2-Bounded Structured State-Space Controllers for Nonlinear Control with Stability Guarantees
Muhammad Zakwan, Leonardo Massai, Efe C. Balta +1
Designing stabilizing control policies for nonlinear systems while optimizing complex objectives remains a formidable challenge. Neural networks (NNs), despite their expressive pow…
Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals
Yu Tang, Muhammad Zakwan, Efe Balta +2
The Flexible Job Shop Scheduling Problem (FJSP) is the optimal allocation of a set of jobs to machines. Two primary challenges persist in FJSP: the unpredictable arrival of future…
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)…
Neural Distributed Controllers with Port-Hamiltonian Structures
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.…
SIMBa: System Identification Methods leveraging Backpropagation
Loris Di Natale, Muhammad Zakwan, Philipp Heer +2
This manuscript details and extends the SIMBa toolbox (System Identification Methods leveraging Backpropagation) presented in previous work, which uses well-established Machine Lea…
Stable Linear Subspace Identification: A Machine Learning Approach
Loris Di Natale, Muhammad Zakwan, Bratislav Svetozarevic +3
Machine Learning (ML) and linear System Identification (SI) have been historically developed independently. In this paper, we leverage well-established ML tools - especially the au…
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…
Physically Consistent Neural ODEs for Learning Multi-Physics Systems
Muhammad Zakwan, Loris Di Natale, Bratislav Svetozarevic +3
Despite the immense success of neural networks in modeling system dynamics from data, they often remain physics-agnostic black boxes. In the particular case of physical systems, th…
Robust Classification using Contractive Hamiltonian Neural ODEs
Muhammad Zakwan, Liang Xu, Giancarlo Ferrari-Trecate
Deep neural networks can be fragile and sensitive to small input perturbations that might cause a significant change in the output. In this paper, we employ contraction theory to i…
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…
Neural Energy Casimir Control for Port-Hamiltonian Systems
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. However, its application relies on the availabi…
Stability Analysis and State-Feedback Stabilization of LPV Time-Delay Systems with Piecewise Constant Parameters subject to Spontaneous Poissonian Jumps
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 constan…
Dwell-Time Based Stability Analysis and L2 Control of LPV Systems with Piecewise Constant Parameters and Delay
Muhammad Zakwan, Saeed Ahmed
Dwell-time based stability conditions for a class of LPV systems with piecewise constant parameters under time-varying delay are derived using clock-dependent Lyapunov-Krasovskii f…
On Output Feedback Stabilization of Time-Varying Decomposable Systems with Switching Topology and Delay
Muhammad Zakwan, Saeed Ahmed, Naim Bajcinca
This paper presents a new method for dynamic output feedback stabilizing controller design for decomposable systems with switching topology and delay. Our approach consists of two…