Jorge Poveda

Orcid: 0000-0003-0733-951X

According to our database1, Jorge Poveda authored at least 62 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Stochastic Binary Vertex-Triggering Resetting Algorithm for Global Synchronization of Pulse-Coupled Oscillators.
IEEE Trans. Control. Netw. Syst., December, 2023

Multi-time scale control and optimization via averaging and singular perturbation theory: From ODEs to hybrid dynamical systems.
Annu. Rev. Control., January, 2023

Fixed-Time Nash Equilibrium Seeking in Time-Varying Networks.
IEEE Trans. Autom. Control., 2023

Recurrent Neural Network ODE Output for Classification Problems Follows the Replicator Dynamics.
IEEE Control. Syst. Lett., 2023

Decentralized Laplacian Gradient Flows With Vanishing Anchors for Resource Allocation Problems With Arbitrary Initialization.
IEEE Control. Syst. Lett., 2023

Continuous-Time Zeroth-Order Dynamics with Projection Maps: Model-Free Feedback Optimization with Safety Guarantees.
CoRR, 2023

Control Systems for Low-Inertia Power Grids: A Survey on Virtual Power Plants.
IEEE Access, 2023

Averaging in a Class of Stochastic Hybrid Dynamical Systems with Time-Varying Flow Maps.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

High-Order Decentralized Pricing Dynamics for Congestion Games: Harnessing Coordination to Achieve Acceleration.
Proceedings of the American Control Conference, 2023

2022
Time-Varying Optimization of LTI Systems Via Projected Primal-Dual Gradient Flows.
IEEE Trans. Control. Netw. Syst., 2022

Robust Coordinated Hybrid Source Seeking With Obstacle Avoidance in Multivehicle Autonomous Systems.
IEEE Trans. Autom. Control., 2022

High-performance optimal incentive-seeking in transactive control for traffic congestion.
Eur. J. Control, 2022

Excitation Conditions for Uniform Exponential Stability of the Cooperative Gradient Algorithm Over Weakly Connected Digraphs.
IEEE Control. Syst. Lett., 2022

Extremum Seeking Under Persistent Gradient Deception: A Switching Systems Approach.
IEEE Control. Syst. Lett., 2022

Accelerated Continuous-Time Approximate Dynamic Programming via Data-Assisted Hybrid Control.
CoRR, 2022

Online optimization of switched LTI systems using continuous-time and hybrid accelerated gradient flows.
Autom., 2022

Sliding-Seeking Control: Model-Free Optimization with Safety Constraints.
Proceedings of the Learning for Dynamics and Control Conference, 2022

Stackelberg Population Learning Dynamics.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Feedback-Based Optimization of Power Systems: Resilience to Persistent Attacks.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Fixed-Time Seeking and Tracking of Time-Varying Nash Equilibria in Noncooperative Games.
Proceedings of the American Control Conference, 2022

Data-Assisted Vision-Based Hybrid Control for Robust Stabilization with Obstacle Avoidance via Learning of Perception Maps.
Proceedings of the American Control Conference, 2022

2021
Nonsmooth Extremum Seeking Control With User-Prescribed Fixed-Time Convergence.
IEEE Trans. Autom. Control., 2021

Robust Optimization Over Networks Using Distributed Restarting of Accelerated Dynamics.
IEEE Control. Syst. Lett., 2021

Planning a Return to Normal after the COVID-19 Pandemic: Identifying Safe Contact Levels via Online Optimization.
CoRR, 2021

Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods.
CoRR, 2021

Robust hybrid zero-order optimization algorithms with acceleration via averaging in time.
Autom., 2021

Scalable resetting algorithms for synchronization of pulse-coupled oscillators over rooted directed graphs.
Autom., 2021

Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Computation-aware distributed optimization over networks: a hybrid dynamical systems approach.
Proceedings of the CAADCPS '21: Proceedings of the Workshop on Computation-Aware Algorithmic Design for Cyber-Physical Systems, 2021

Fixed-Time Seeking and Tracking of Time-Varying Extrema.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Self-Optimizing Traffic Light Control Using Hybrid Accelerated Extremum Seeking.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Excitation Conditions for Uniform ExponentiaGBl Stability of the Cooperative Gradient Algorithm over Weakly Connected Digraphs.
Proceedings of the 2021 American Control Conference, 2021

2020
Fixed-Time Nash Equilibrium Seeking in Non-Cooperative Games.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

The Heavy-Ball ODE with Time-Varying Damping: Persistence of Excitation and Uniform Asymptotic Stability.
Proceedings of the 2020 American Control Conference, 2020

Fixed-Time Gradient-Based Extremum Seeking.
Proceedings of the 2020 American Control Conference, 2020

2019
Hybrid mechanisms for robust synchronization and coordination of multi-agent networked sampled-data systems.
Autom., 2019

First-Order Optimization Algorithms with Resets and Hamiltonian flows.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

CODES: Cooperative Data-Enabled Extremum Seeking for Multi-Agent Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Inducing Uniform Asymptotic Stability in Non-Autonomous Accelerated Optimization Dynamics via Hybrid Regularization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Hybrid Robust Optimal Resource Allocation with Momentum.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Global Synchronization of Clocks in Directed Rooted Acyclic Graphs: A Hybrid Systems Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Hybrid Extremum Seeking for Black-Box Optimization in Hybrid Plants: An Analytical Framework.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Stochastic Hybrid Inclusions Applied to Global Almost Sure Optimization on Manifolds.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Hybrid Adaptive Feedback Law for Robust Obstacle Avoidance and Coordination in Multiple Vehicle Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
A Robust Event-Triggered Approach for Fast Sampled-Data Extremization and Learning.
IEEE Trans. Autom. Control., 2017

A framework for a class of hybrid extremum seeking controllers with dynamic inclusions.
Autom., 2017

Hybrid gradient descent for robust global optimization on the circle.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A class of distributed adaptive pricing mechanisms for societal systems with limited information.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A neuro-adaptive architecture for extremum seeking control using hybrid learning dynamics.
Proceedings of the 2017 American Control Conference, 2017

2016
Replicator dynamics under perturbations and time delays.
Math. Control. Signals Syst., 2016

Distributed robust stochastic learning in asynchronous networks of sampled-data systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Robust constrained model predictive control with persistent model adaptation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Shahshahani gradient-like extremum seeking.
Autom., 2015

Event-triggered based on-line optimization for a class of nonlinear systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Flexible Nash seeking using stochastic difference inclusions.
Proceedings of the American Control Conference, 2015

A hybrid systems approach to global synchronization and coordination of multi-agent sampled-data systems.
Proceedings of the 5th IFAC Conference on Analysis and Design of Hybrid Systems, 2015

2014
A hybrid seeking approach for robust learning in multi-agent systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Extremum seeking for multi-population games.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Distributed extremum seeking for real-time resource allocation.
Proceedings of the American Control Conference, 2013

2012
Dynamic bandwidth allocation in wireless networks using a Shahshahani gradient based extremum seeking control.
Proceedings of the 6th International Conference on Network Games, 2012

A Shahshahani Gradient based extremum seeking scheme.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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