activity
20192026
most citedFixed-Time Extremum Seeking

4 citations · 19 across the 20 of their papers we have counts for

collaborators

29 papers

math.OC2026

On the Stability of Power Systems with AI Data Centers: A Multi-Equilibrium Switched DAE Framework

Vishal Shenoy, Damola Ajeyemi, Mahmoud Abdelgalil +3

The rapid growth of Artificial Intelligence (AI) data centers is introducing dynamic loads into power transmission systems as GPU clusters switch between computational phases with…

cs.LG2026

The Deceptive Bandit Problem: Exploratory Coupling and the Fragility of Multi-Agent Learning

Michael Tang, Mahmoud Abdelgalil, Jorge I. Poveda

Randomized exploration is central to bandit learning, multi-agent reinforcement learning, and zeroth-order policy search, yet its independence and privacy are usually only treated…

math.OC2026

Fixed-Time ISS for Interconnected Discrete-Time Systems, Part II: Finite-Horizon Lyapunov Functions

Sumadhu Rubaiyat, Jorge I. Poveda

We study fixed-time input-to-state stability (FxT-ISS) for discrete-time systems subject to exogenous inputs using finite-horizon Lyapunov functions. In the proposed Lyapunov- base…

math.OC2026

Fixed-Time ISS for Interconnected Discrete-Time Systems, Part I: Extinction-Based Lyapunov Functions

Sumadhu Rubaiyat, Jorge I. Poveda

We study fixed-time input-to-state stability (FxT-ISS) for discrete-time systems subject to exogenous inputs. We introduce Lyapunov-based sufficient conditions for FxT- ISS based o…

math.OC2026

Stochastic Lie-Bracket Approximations for Zeroth-Order Optimization on Manifolds

Mahmoud Abdelgalil, Miroslav Krstic, Jorge I. Poveda

We propose a continuous-time algorithm for zeroth-order global optimization of smooth functions on compact manifolds that synthesizes Riemannian gradient dynamics using only object…

math.OC2026

Non-Holonomic Gradient Play: Leafwise Nash Equilibria, Stability, and Deception

Mahmoud Abdelgalil, Miroslav Krstic, Jorge I. Poveda

We study generalized learning dynamics in multi-agent systems whose joint state evolves on a manifold and whose agents act through state-dependent, potentially nonholonomic vector…

math.OC2025

Hybrid Set-Seeking Systems: Model-Free Feedback Optimization via Hybrid Inclusions

Jorge I. Poveda, Andrew R. Teel

This article aims to provide an accessible, tutorial-style introduction to hybrid extremum-seeking systems, which are model-free, feedback-optimization controllers that incorporate…

math.OC2023★ 1 cited

Prescribed-Time Control in Switching Systems with Resets: A Hybrid Dynamical Systems Approach

Daniel E. Ochoa, Nicolas Espitia, Jorge I. Poveda

We consider the problem of achieving prescribed-time stability (PT-S) in a class of hybrid dynamical systems that incorporate switching nonlinear dynamics, exogenous inputs, and re…

math.OC2023★ 2 cited

On Lie-Bracket Averaging for a Class of Hybrid Dynamical Systems with Applications to Model-Free Control and Optimization

Mahmoud Abdelgalil, Jorge I. Poveda

The stability of dynamical systems with oscillatory behaviors and well-defined average vector fields has traditionally been studied using averaging theory. These tools have also be…

math.OC2023★ 2 cited

Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees

Xin Chen, Jorge I. Poveda, Na Li

This paper introduces a class of model-free feedback methods for solving generic constrained optimization problems where the specific mathematical forms of the objective and constr…

math.OC2022

Model-Free Optimization on Smooth Compact Manifolds: Overcoming Topological Obstructions using Zeroth-Order Hybrid Dynamics

Daniel E. Ochoa, Jorge I. Poveda

Smooth autonomous dynamical systems modeled by ordinary differential equations (ODEs) cannot robustly and globally stabilize a point in compact, boundaryless manifolds. This obstru…

cs.RO2022

Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps

Alejandro Murillo-Gonzalez, Jorge I. Poveda

We study the problem of target stabilization with robust obstacle avoidance in robots and vehicles that have access only to vision-based sensors for the purpose of realtime localiz…

math.OC2022

Model-Free Feedback Constrained Optimization Via Projected Primal-Dual Zeroth-Order Dynamics

Xin Chen, Jorge I. Poveda, Na Li

In this paper, we propose a model-free feedback solution method to solve generic constrained optimization problems, without knowing the specific formulations of the objective and c…

math.OC2022

Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control

Daniel E. Ochoa, Jorge I. Poveda

We introduce a new closed-loop architecture for the online solution of approximate optimal control problems in the context of continuous-time systems. Specifically, we introduce th…

math.OC2022

High-Performance Optimal Incentive-Seeking in Transactive Control for Traffic Congestion

Daniel E. Ochoa, Jorge I. Poveda

Traffic congestion has dire economic and social impacts in modern metropolitan areas. To address this problem, in this paper we introduce a novel type of model-free transactive con…

eess.SY2022

A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators

Muhammad U. Javed, Jorge I. Poveda, Xudong Chen

In this paper, we propose a novel stochastic binary resetting algorithm for networks of pulse-coupled oscillators (or, simply, agents) to reach global synchronization. The algorith…

math.OC2021★ 2 cited

Momentum-Based Nash Set Seeking over Networks via Multi-Time Scale Hybrid Dynamic Inclusions

Daniel E. Ochoa, Jorge I. Poveda

Multi-time scale techniques, such as singular perturbations and averaging theory, have played an essential role in the development of distributed Nash equilibrium-seeking algorithm…

math.OC2021★ 2 cited

Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization

Gianluca Bianchin, Emiliano Dall'Anese, Jorge I. Poveda +3

Since the early months of 2020, non-pharmaceutical interventions (NPIs) -- implemented at varying levels of severity and based on widely-divergent perspectives of risk tolerance --…

math.OC2021★ 2 cited

Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods

Xin Chen, Jorge I. Poveda, Na Li

In power distribution systems, the growing penetration of renewable energy resources brings new challenges to maintaining voltage safety, which is further complicated by the limite…

math.OC2021

Online Optimization of LTI Systems Under Persistent Attacks: Stability, Tracking, and Robustness

Felipe Galarza-Jimenez, Gianluca Bianchin, Jorge I. Poveda +1

We study the stability properties of a control system composed of a dynamical plant and a feedback controller, the latter generating control signals that can be compromised by a ma…

math.OC2021

Time-Varying Optimization of LTI Systems via Projected Primal-Dual Gradient Flows

Gianluca Bianchin, Jorge Cortes, Jorge I. Poveda +1

This paper investigates the problem of regulating in real time a linear dynamical system to the solution trajectory of a time-varying constrained convex optimization problem. The p…

math.OC2020

Fixed-Time Nash Equilibrium Seeking in Non-Cooperative Games

Jorge I. Poveda, Miroslav Krstic, Tamer Basar

We introduce a novel class of Nash equilibrium seeking dynamics for non-cooperative games with a finite number of players, where the convergence to the Nash equilibrium is bounded…

math.OC2020

Fixed-Time Newton-Like Extremum Seeking

Jorge I. Poveda, Miroslav Krstic

In this paper, we present a novel Newton-based extremum seeking controller for the solution of multivariable model-free optimization problems in static maps. Unlike existing asympt…

math.OC2020★ 3 cited

Online Optimization of Switched LTI Systems Using Continuous-Time and Hybrid Accelerated Gradient Flows

Gianluca Bianchin, Jorge I. Poveda, Emiliano Dall'Anese

This paper studies the design of feedback controllers to steer a switching linear time-invariant dynamical system towards the solution trajectory of a time-varying convex optimizat…