Jorge Poveda
Orcid: 0000-0003-0733-951X
According to our database1,
Jorge Poveda
authored at least 71 papers
between 2012 and 2025.
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Bibliography
2025
Robust global optimization on smooth compact manifolds via hybrid gradient-free dynamics.
Autom., 2025
2024
Momentum-Based Nash Set-Seeking Over Networks via Multitime Scale Hybrid Dynamic Inclusions.
IEEE Trans. Autom. Control., July, 2024
Syst. Control. Lett., 2024
Prescribed-time stability in switching systems with resets: A hybrid dynamical systems approach.
Syst. Control. Lett., 2024
On the Stability of Power Transmission Systems Under Persistent Inverter Attacks: A Bi-Linear Matrix Approach.
IEEE Control. Syst. Lett., 2024
On Fixed-Time Stability for a Class of Singularly Perturbed Systems Using Composite Lyapunov Functions.
Proceedings of the American Control Conference, 2024
Proceedings of the American Control Conference, 2024
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
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
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
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
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
Proceedings of the Learning for Dynamics and Control Conference, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
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
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
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
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
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
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
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
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
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
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
IEEE Trans. Autom. Control., 2017
A framework for a class of hybrid extremum seeking controllers with dynamic inclusions.
Autom., 2017
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
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
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
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
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
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
Proceedings of the 51th IEEE Conference on Decision and Control, 2012