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20072026
most citedGeometric methods for optimal sensor design

22 citations · 109 across the 52 of their papers we have counts for

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32 papers · 1 filter

math.OC2026

Structural stability of systems and cycle covers in random graphs

Mohamed Ali Belabbas

Structural system theory studies which network topologies can sustain a prescribed system property such as controllability or stability. When the topology is itself random, the rel…

math.OC2025

Interpretable Gradient Descent for Kalman Gain

M. A. Belabbas, A. Olshevsky

We derive a decomposition for the gradient of the innovation loss with respect to the filter gain in a linear time-invariant system, decomposing as a product of an observability Gr…

math.OC2025

On the invariance of super-linearization under polynomial automorphisms

Anmol Harshana, Mohamed-Ali Belabbas

We prove that the super-linearizability of polynomial systems is preserved by all currently known classes of polynomial automorphisms of . We then establish connections betwe…

math.OC2025

Constructing Stochastic Matrices for Weighted Averaging in Gossip Networks

Erkan Bayram, Mohamed-Ali Belabbas

The convergence of the gossip process has been extensively studied; however, algorithms that generate a set of stochastic matrices, the infinite product of which converges to a ran…

math.OC2025

On Infinite-horizon Minimum Energy Control

Mohamed-Ali Belabbas, Xudong Chen

We address the infinite-horizon minimum energy control problem for linear time-invariant finite-dimensional systems . We show that the problem admits a solution if and only…

math.OC2024

Time-delay Induced Stochastic Optimization and Extremum Seeking

Naum Dimitrieski, Michael Reyer, Mohamed-Ali Belabbas +1

In this paper a novel stochastic optimization and extremum seeking algorithm is presented, one which is based on time-delayed random perturbations and step size adaptation. For the…

math.OC2024

Dynamic Global Feedback Stabilization: why do the twist?

Mohamed-Ali Belabbas, Jehyung Ko

We investigate global dynamic feedback stabilization from a topological viewpoint. In particular, we consider the general case of dynamic feedback systems, whereby the total space…

math.OC2024

Graphons and the -property

Mohamed-Ali Belabbas, Xudong Chen

A graphon satisfies the -property if graphs sampled from it contain a Hamiltonian decomposition almost surely, which in turn implies that the corresponding network topologies ar…

math.OC2023

Vector-Valued Gossip over -Holonomic Networks

Erkan Bayram, Mohamed-Ali Belabbas, Tamer Başar

We study the weighted average consensus problem for a gossip network of agents with vector-valued states. For a given matrix-weighted graph, the gossip process is described by a se…

math.OC2023

A Sufficient Condition for the Super-linearization of Polynomial Systems

Mohamed-Ali Belabbas, Xudong Chen

We provide in this paper a sufficient condition for a polynomial dynamical system to be super-linearizable, i.e., to be such that all its trajectories are lin…

math.OC2022★ 1 cited

Canonical forms for polynomial systems with balanced super-linearizations

M. -A. Belabbas

A system is Koopman super-linearizable if it admits a finite-dimensional embedding as a linear system. Super-linearization is used to leverage methods from linear systems theory to…

math.OC2022★ 1 cited

Visible and hidden observables in super-linearization

Mohamed-Ali Belabbas

We call a system super-linearizable if it admits finite-dimensional embedding as a linear system -- known as a finite-dimensional Koopman embedding; said otherwise, if its dynamics…

math.OC2022

Geometric Characterization of the -property for Step-graphons

Mohamed Ali Belabbas, Xudong Chen

In a recent paper arXiv:2109.08340, we have exhibited a set of conditions that are necessary for the -property to hold for the class of step-graphons. In this paper, we prove th…

math.OC2022

The H-property of Line Graphons

Mohamed-Ali Belabbas, Xudong Chen, Tamer Basar

We explore in this paper sufficient conditions for the -property to hold, with a particular focus on the so-called line graphons. A graphon is a symmetric, measurable function f…

math.OC2021

On gradient flows initialized near maxima

Mohamed-Ali Belabbas

Let be a closed Riemannian manifold, and let be a smooth function on . We show the following holds generically for the function : for each maximu…

math.OC2021

On the H-property for step-graphons and edge polytopes

Mohamed-Ali Belabbas, Xudong Chen, Tamer Basar

Graphons can be used as stochastic models to sample graphs on nodes for arbitrarily large. A graphon is said to have the -property if admits a decomp…

math.OC2021

On Structural Rank and Resilience of Sparsity Patterns

Mohamed Ali Belabbas, Xudong Chen, Daniel Zelazo

A sparsity pattern in , for , is a vector subspace of matrices admitting a basis consisting of canonical basis vectors in $\mathbb{R}^{n \times m}…

math.OC2021

Gossip over Holonomic Graphs

Xudong Chen, Mohamed-Ali Belabbas, Ji Liu

A gossip process is an iterative process in a multi-agent system where only two neighboring agents communicate at each iteration and update their states. The neighboring condition…

math.OC2021

Geometric Heat Flow Method for Legged Locomotion Planning

Yinai Fan, Shenyu Liu, Mohamed-Ali Belabbas

We propose in this paper a motion planning method for legged robot locomotion based on Geometric Heat Flow framework. The motion planning task is challenging due to the hybrid natu…

math.OC2020

On Integer Balancing of Digraphs

Mohamed-Ali Belabbas, Xudong Chen

A weighted digraph is balanced if the sums of the weights of the incoming and of the outgoing edges are equal at each vertex. We show that if these sums are integers, then the edge…

math.OC2020

Triangulated Laman Graphs, Local Stochastic Matrices, and Limits of Their Products

Mohamed Ali Belabbas, Xudong Chen

We derive conditions on the products of stochastic matrices guaranteeing the existence of a unique limit invariant distribution. Belying our approach is the hereby defined notion o…

math.OC2020

Gradient Approximation and Multi-Variable Derivative-Free Optimization based on Non-Commutative Maps

Jan Feiling, Mohamed-Ali Belabbas, Christian Ebenbauer

In this work, multi-variable derivative-free optimization algorithms for unconstrained optimization problems are developed. A novel procedure for approximating the gradient of mult…

math.OC2019★ 2 cited

The Affine Geometric Heat Flow and Motion Planning for Dynamic Systems

Shenyu Liu, Yinai Fan, Mohamed Ali Belabbas

We present a new method for motion planning for control systems. The method aims to provide a natural computational framework in which a broad class of motion planning problems can…

math.OC2019★ 4 cited

A Homotopy Method for Motion Planning

Shenyu Liu, Mohamed Ali Belabbas

We propose a novel method for motion planning and illustrate its implementation on several canonical examples. The core novel idea underlying the method is to define a metric for w…